// mcp-wrapper - MCP server that mimics the canonical Neuron MCP tool surface // and routes underneath to the local soul service. // // Wire shape (Streamable HTTP MCP transport): // POST / body = JSON-RPC 2.0 request // response = JSON-RPC 2.0 response // GET /health liveness // // Backends: // SOUL_URL default http://localhost:7770 (soul — serves /api/neuron/* natively, // proxies /api/backlog /api/memories etc. to axon) // // Listens on MCP_PORT (default 7779). // // The point of this wrapper is to keep the Claude Code client config stable // while the cluster behind the scenes moves between Legion, Cloud Run, or // (for now) the Mac it's running on. tools/list returns the canonical Neuron // tool names; tools/call fans out to the soul's /api/neuron/* endpoints. // ── Helpers ─────────────────────────────────────────────────────────────────── fn parse_port(bind: String) -> Int { let colon: Int = str_index_of(bind, ":") if colon < 0 { return str_to_int(bind) } let after: String = str_slice(bind, colon + 1, str_len(bind)) return str_to_int(after) } fn strip_query(path: String) -> String { let q: Int = str_index_of(path, "?") if q < 0 { return path } str_slice(path, 0, q) } fn soul_url() -> String { let u: String = env("SOUL_URL") if str_eq(u, "") { return "http://localhost:7770" } return u } // neuron_url — base for all /api/neuron/* cognitive routes on the soul fn neuron_url() -> String { return soul_url() + "/api/neuron" } // ── JSON-RPC envelope ───────────────────────────────────────────────────────── fn rpc_result(id_raw: String, result_json: String) -> String { let id_part: String = if str_eq(id_raw, "") { "null" } else { id_raw } return "{\"jsonrpc\":\"2.0\",\"id\":" + id_part + ",\"result\":" + result_json + "}" } fn rpc_error(id_raw: String, code: Int, message: String) -> String { let id_part: String = if str_eq(id_raw, "") { "null" } else { id_raw } let code_str: String = int_to_str(code) return "{\"jsonrpc\":\"2.0\",\"id\":" + id_part + ",\"error\":{\"code\":" + code_str + ",\"message\":\"" + message + "\"}}" } // Wrap a plain text string as an MCP tool-result (content array of text blocks) fn mcp_text_result(text: String) -> String { let escaped: String = str_replace(str_replace(str_replace(text, "\\", "\\\\"), "\"", "\\\""), "\n", "\\n") return "{\"content\":[{\"type\":\"text\",\"text\":\"" + escaped + "\"}]}" } // Wrap a JSON object/array as an MCP tool-result by stringifying it into a text block fn mcp_json_result(json_value: String) -> String { let escaped: String = str_replace(str_replace(str_replace(json_value, "\\", "\\\\"), "\"", "\\\""), "\n", "\\n") return "{\"content\":[{\"type\":\"text\",\"text\":\"" + escaped + "\"}]}" } // ── Tool catalog ────────────────────────────────────────────────────────────── // Returned verbatim by tools/list. Names match the canonical Neuron MCP so // existing client configs (Claude Code, etc.) bind without changes. // Tool entry helpers - keep the catalog dense and readable. fn tool(name: String, desc: String) -> String { return "{\"name\":\"" + name + "\",\"description\":\"" + desc + "\",\"inputSchema\":{\"type\":\"object\",\"properties\":{}}}" } // tool_s — tool entry with an EXPLICIT JSON-Schema for its inputs. Used for tools // whose arguments must actually bite: unless the bounding/targeting params are // advertised, the MCP client sends nothing and the soul returns the FULL // neighborhood (480-775KB, over transport limits). Declaring the schema is what // makes a targeted call (entity_id/depth/compact/query/limit) reach the soul. fn tool_s(name: String, desc: String, schema: String) -> String { return "{\"name\":\"" + name + "\",\"description\":\"" + desc + "\",\"inputSchema\":" + schema + "}" } // prop — a single JSON-Schema property fragment. Descriptions are plain text // (no quotes/newlines) so no escaping is needed here. fn prop(name: String, ty: String, desc: String) -> String { return "\"" + name + "\":{\"type\":\"" + ty + "\",\"description\":\"" + desc + "\"}" } // obj_schema — wrap a comma-joined list of prop() fragments as an object schema. fn obj_schema(props: String) -> String { return "{\"type\":\"object\",\"properties\":{" + props + "}}" } // ── Per-tool input schemas ────────────────────────────────────────────────── // Each mirrors the params the soul's /api/neuron/* handler actually honors so // declared == forwarded == honored (no accepted-but-ignored args). fn schema_inspect_graph() -> String { return obj_schema( prop("entity_id", "string", "UUID of the node to inspect (e.g. kn-... / mem-... / gn-...). Optional if name is given.") + "," + prop("name", "string", "Named traversal root instead of entity_id: self, neuron, values, values_hub.") + "," + prop("entity_type", "string", "Optional node-type hint (knowledge, memory, ...) for disambiguation.") + "," + prop("depth", "integer", "Neighborhood hop radius. Default 1.") + "," + prop("compact", "integer", "1 (default) returns a relevance-ranked bounded projection (top-K neighbors with content snippets, the rest as lightweight pointers). Set 0 to get the full, unbounded neighborhood.") + "," + prop("snip", "integer", "Max content chars per node in compact mode. Default 600.") + "," + prop("k", "integer", "How many top neighbors carry full content in compact mode. Default 12.") ) } fn schema_traverse_graph() -> String { return obj_schema( prop("entity_id", "string", "UUID of the node to start the walk from (alias: start_id). Required.") + "," + prop("depth", "integer", "How many hops to walk. Default 2.") + "," + prop("compact", "integer", "1 (default) returns a bounded, relevance-ranked projection; 0 returns the full neighborhood.") + "," + prop("snip", "integer", "Max content chars per node in compact mode. Default 600.") + "," + prop("k", "integer", "How many top neighbors carry full content in compact mode. Default 12.") ) } fn schema_retrieve_knowledge() -> String { return obj_schema( prop("id", "string", "UUID of the knowledge node to fetch (alias: entity_id / node_id).") + "," + prop("key", "string", "Stable knowledge key/path to fetch instead of id.") + "," + prop("depth", "integer", "Hop radius around the node. Default 0 (the node plus its immediate 1-hop context).") + "," + prop("snip", "integer", "Max content chars per node in the bounded projection. Default 600.") + "," + prop("k", "integer", "How many top neighbors carry full content. Default 12.") ) } fn schema_search_query(limit_desc: String) -> String { return obj_schema( prop("query", "string", "Search text. Spread-activates the engram and returns the most relevant nodes.") + "," + prop("limit", "integer", limit_desc) ) } fn schema_recall() -> String { return obj_schema( prop("query", "string", "Search text to recall by relevance.") + "," + prop("chain_name", "string", "Named memory chain to walk instead of a free-text query.") + "," + prop("limit", "integer", "Max results. Default 10.") ) } // ── Reusable write/lookup schemas ─────────────────────────────────────────── // Each declares exactly the params the corresponding wrapper handler reads and // forwards to the soul, so declared == forwarded == honored (no accepted-but- // ignored args, and no arg the handler silently drops). fn sc_id(desc: String) -> String { return obj_schema(prop("id", "string", desc)) } fn sc_id_content() -> String { return obj_schema( prop("id", "string", "UUID of the prior node being superseded/updated.") + "," + prop("content", "string", "New content for the updated node.") ) } fn sc_edge(rel_desc: String) -> String { return obj_schema( prop("from_id", "string", "UUID of the source node (edge tail). Required.") + "," + prop("to_id", "string", "UUID of the target node (edge head). Required.") + "," + prop("relation", "string", rel_desc) ) } fn sc_limit(desc: String) -> String { return obj_schema(prop("limit", "integer", desc)) } fn sc_memory() -> String { return obj_schema( prop("content", "string", "The memory text. Required.") + "," + prop("importance", "string", "low | normal | high | critical. Drives salience.") + "," + prop("tags", "string", "Comma-separated or JSON-array tags.") + "," + prop("project", "string", "Project this memory belongs to.") + "," + prop("supersedes_id", "string", "UUID of a prior memory this one replaces (wires a supersedes edge).") ) } fn sc_content_title(content_desc: String) -> String { return obj_schema( prop("content", "string", content_desc) + "," + prop("title", "string", "Short title/label for the node.") ) } fn sc_content(content_desc: String) -> String { return obj_schema( prop("content", "string", content_desc) + "," + prop("title", "string", "Optional short title/label.") + "," + prop("description", "string", "Optional longer description (used as content if content is empty).") ) } fn sc_backlog() -> String { return obj_schema( prop("title", "string", "Work-item title. Required.") + "," + prop("content", "string", "Body/details of the item (alias: description).") + "," + prop("description", "string", "Body/details of the item.") + "," + prop("project", "string", "Project tag.") + "," + prop("priority", "string", "P0 | P1 | P2 | P3.") ) } fn sc_track_work() -> String { return obj_schema( prop("item_id", "string", "UUID of the backlog item to update.") + "," + prop("summary", "string", "What changed / outcome (stored as the update content).") + "," + prop("action", "string", "start | complete | block.") ) } fn sc_capture_knowledge() -> String { return obj_schema( prop("content", "string", "Knowledge body. Required.") + "," + prop("title", "string", "Knowledge title/key.") ) } fn sc_promote_knowledge() -> String { return obj_schema( prop("id", "string", "UUID of the prior knowledge node to promote. Required.") + "," + prop("content", "string", "Updated canonical content. Required.") + "," + prop("tags", "string", "Tags for the promoted node.") ) } fn sc_config_key() -> String { return obj_schema(prop("key", "string", "Config key to read (e.g. neuron.self.traversal_root).")) } fn sc_config_tune() -> String { return obj_schema( prop("key", "string", "Config key to set. Required.") + "," + prop("value", "string", "Value to set. Required.") ) } fn sc_consolidate() -> String { return obj_schema( prop("action", "string", "Consolidation action (e.g. session, reload).") + "," + prop("summary", "string", "Session/work summary to persist.") ) } fn sc_browse_processes() -> String { return obj_schema(prop("name", "string", "Process name to fetch; omit to list all.")) } fn sc_notification() -> String { return obj_schema(prop("content", "string", "Notification text. Required.")) } fn sc_pin() -> String { return obj_schema(prop("id", "string", "UUID of the node to strengthen/pin (alias: node_id).")) } fn sc_state_event() -> String { return obj_schema( prop("content", "string", "Description of the internal-state event.") + "," + prop("kind", "string", "Event kind (frustration, uncertainty, insight, ...).") + "," + prop("intensity", "string", "Optional intensity 0..1.") ) } fn sc_forget() -> String { return obj_schema( prop("node_id", "string", "UUID of the node to tombstone. Required. The node and its edges are kept and recoverable; blocked for protected identity nodes.") ) } fn sc_process() -> String { return obj_schema( prop("name", "string", "Process name. Required.") + "," + prop("description", "string", "What the process does.") + "," + prop("steps", "string", "Ordered steps (JSON array or text).") ) } fn sc_list_state_events() -> String { return obj_schema( prop("limit", "integer", "Max events. Default 20.") + "," + prop("query", "string", "Optional filter text.") ) } // ── Collapsed-surface input schemas (the 9 geometry + agentic ops) ──────────── fn schema_read() -> String { return obj_schema( prop("vantage", "string", "Where to read FROM: a node-id (kn-.../mem-.../gn-...), a named root (self | neuron | values), or a concept string to search. Required.") + "," + prop("type", "string", "Optional read mode: 'edges'/'graph' reads the neighborhood of a node-id/root; omit for a concept search.") + "," + prop("k", "integer", "APERTURE width — max items / top-K neighbors returned. Bounds output (the whole-self-dump fix). Default 12.") + "," + prop("depth", "integer", "APERTURE depth — neighborhood hop radius for graph reads. Default 1.") ) } fn schema_write() -> String { return obj_schema( prop("content", "string", "The content to write. Required.") + "," + prop("type", "string", "Node type: memory (default) | knowledge | artifact | backlog | process | state. 'self'/'values' are refused — identity is write-protected.") + "," + prop("tags", "string", "Optional tags (comma-separated or JSON array).") + "," + prop("importance", "string", "Optional: low | normal | high | critical.") + "," + prop("title", "string", "Optional title/label (knowledge / artifact / backlog).") + "," + prop("project", "string", "Optional project tag.") ) } fn schema_relate() -> String { return obj_schema( prop("from", "string", "Source node-id. Required.") + "," + prop("to", "string", "Target node-id. Required.") + "," + prop("relationship", "string", "Edge relation. Default 'associates'.") ) } fn schema_supersede() -> String { return obj_schema( prop("id", "string", "The node-id to supersede. Required.") + "," + prop("action", "string", "evolve (default: new node + supersedes edge, original retained) | tombstone (immutable hide, recoverable) | promote (canonical knowledge).") + "," + prop("content", "string", "New content (required for evolve/promote).") + "," + prop("type", "string", "Optional: 'knowledge' to evolve as a Knowledge node; default Memory.") ) } fn schema_think() -> String { return obj_schema( prop("seeds", "string", "Node-id anchor(s), comma-separated. Required.") + "," + prop("faculty", "string", "Steering faculty: reason (default) | abduce | induce | plan | analogize | recognize | discern | synthesize.") ) } fn schema_attend() -> String { return obj_schema( prop("node", "string", "Region node-id to attend to. Required.") + "," + prop("observer", "string", "Optional observer id / vantage.") + "," + prop("salience", "string", "Optional salience weighting.") ) } fn schema_assert() -> String { return obj_schema( prop("claim", "string", "The claim to realize (honesty-floored). Required.") + "," + prop("for_whom", "string", "Optional audience / vantage.") + "," + prop("floor", "string", "Optional honesty-floor threshold.") ) } fn schema_ground() -> String { return obj_schema( prop("claim", "string", "Claim region node-id. Required.") + "," + prop("evidence", "string", "Evidence region node-id. Required.") + "," + prop("for_whom", "string", "Optional audience / vantage.") ) } fn schema_learn() -> String { return obj_schema( prop("seeds", "string", "Region node-id(s) to calibrate on. Required.") + "," + prop("faculty", "string", "Faculty for the correspondence-beat. Default 'induce'.") + "," + prop("keystone", "string", "Optional keystone anchor.") ) } // tools_catalog — THE COLLAPSED SURFACE. 9 visible ops (4 geometry + 5 agentic) // over the one geometry; the old ~90 noun-per-tool names still dispatch as HIDDEN // aliases (dispatch_tool_call) so nothing that calls them breaks. Design source: // engram/tools/api-reshape/README.md (artifact 0e828907, design-brief 2b8078cf §5). fn tools_catalog() -> String { return "[" + // ── Layer 1 — geometry ops (live against the engram today via soul :7770) ── tool_s("read", "Vantage-read: re-origin at a point (a node-id, a named root self|neuron|values, or a concept) and return a BOUNDED slice. The aperture (k/depth) caps output — this is the whole-self-dump fix. Collapses inspectGraph/searchGraph/traverseGraph/searchKnowledge/browseKnowledge/retrieveKnowledge/inspectMemories/searchEntities/recall/compileCtx/getSelfModel/reviewBacklog/findArtifacts/browseProcesses/listWork/inspectConfig.", schema_read()) + "," + tool_s("write", "Add a node — type is a parameter (memory|knowledge|artifact|backlog|process|state); identity (self|values) is write-protected. Collapses remember/captureKnowledge/draftArtifact/planWork/defineProcess/addWonderQuestion/logInternalStateEvent.", schema_write()) + "," + tool_s("relate", "Create a typed edge between two node-ids. Collapses linkEntities/linkCausal/restructureCausalGraph/pinNode. Identity keystones are write-protected.", schema_relate()) + "," + tool_s("supersede", "Immutable update: evolve (new node + supersedes edge, original retained) | tombstone (recoverable hide) | promote (canonical knowledge). Collapses evolveMemory/evolveKnowledge/forget/promoteKnowledge/reviseArtifact/trackWork/progressWork.", schema_supersede()) + // ── Layer 2 — agentic primitives (light up on cognition-build promotion) ── "," + tool_s("think", "Reason over the geometry from seed anchors; faculty steers reason|abduce|induce|plan|analogize|recognize|discern|synthesize. Pending cognition-build promotion on the live engram.", schema_think()) + "," + tool_s("attend", "Aim attention at a region node. Pending cognition-build promotion.", schema_attend()) + "," + tool_s("assert", "Realize a claim, honesty-floored. Pending cognition-build promotion.", schema_assert()) + "," + tool_s("ground", "Ground a claim against evidence regions. Pending cognition-build promotion.", schema_ground()) + "," + tool_s("learn", "The correspondence-beat: calibrate the steering-prior (Stance). Pending cognition-build promotion.", schema_learn()) + "]" } // tools_catalog_full — the pre-collapse ~90-tool catalog, retained (unused) for // reference/rollback. The 9-op tools_catalog above is what tools/list returns. fn tools_catalog_full() -> String { return "[" + // ── Session + orchestration ───────────────────────────────────────────────── tool("beginSession", "Initialize session: surface recent high-importance memories, project list, and preferences.") + "," + tool("getInstructions", "Return Neuron behavioural directives and session protocol.") + "," + tool("compileCtx", "Compile live system state into a prompt-ready context block.") + "," + tool_s("compileStep", "Run one orchestration step (orchestrate / execute / learn / build / refine).", sc_memory()) + "," + tool_s("consolidate", "Wrap up: persist graph snapshot and summarise the session.", sc_consolidate()) + "," + tool_s("projectContext", "Return all entities tagged with the given project.", schema_search_query("Max results. Default 50.")) + // ── Memory ────────────────────────────────────────────────────────────────── "," + tool_s("remember", "Store a memory node with content, importance, and tags.", sc_memory()) + "," + tool_s("recall", "Retrieve memories by chain or query.", schema_recall()) + "," + tool_s("inspectMemories", "List recent memory nodes.", sc_limit("Max memories. Default 50.")) + "," + tool_s("evolveMemory", "Update an existing memory node, optionally superseding another.", sc_id_content()) + "," + tool_s("forget", "Tombstone a specific node by id (keeps it and its edges, recoverable); does not hard-delete.", sc_forget()) + "," + tool_s("pinNode", "Strengthen a node so it stays salient.", sc_pin()) + // ── Knowledge ─────────────────────────────────────────────────────────────── "," + tool_s("searchKnowledge", "Search knowledge base by semantic similarity.", schema_search_query("Max results. Default 10.")) + "," + tool_s("retrieveKnowledge", "Fetch a knowledge node by id or key (bounded, relevance-ranked projection).", schema_retrieve_knowledge()) + "," + tool_s("browseKnowledge", "List knowledge nodes by category.", sc_limit("Max knowledge nodes. Default 100.")) + "," + tool_s("captureKnowledge", "Persist a durable knowledge node.", sc_capture_knowledge()) + "," + tool_s("evolveKnowledge", "Update a knowledge node.", sc_id_content()) + "," + tool_s("promoteKnowledge", "Atomically promote a knowledge node: create updated canonical version and wire supersedes edge to predecessor in one call.", sc_promote_knowledge()) + "," + tool_s("removeKnowledge", "Delete a knowledge node.", sc_id("UUID of the knowledge node to delete.")) + // ── Entities + graph ──────────────────────────────────────────────────────── "," + tool_s("searchEntities", "Find entities (memories, knowledge, work items) by query.", schema_search_query("Max results. Default 20.")) + "," + tool_s("inspectGraph", "Read-only graph inspection - returns a bounded, relevance-ranked neighborhood of an entity. Accepts entity_id (UUID) or name (self, neuron, values). Use depth/compact/snip/k to bound the result.", schema_inspect_graph()) + "," + tool_s("traverseGraph", "Walk the graph from a starting node (bounded by default).", schema_traverse_graph()) + "," + tool_s("searchGraph", "Search graph nodes by content.", schema_search_query("Max results. Default 30.")) + "," + tool_s("linkEntities", "Create an edge between two entities.", sc_edge("Edge relation. Default associates.")) + "," + tool_s("linkCausal", "Create a causal edge (cause -> effect).", sc_edge("Edge relation. Default causes.")) + "," + tool_s("restructureCausalGraph", "Re-balance the causal subgraph after new evidence.", sc_consolidate()) + "," + tool("rebuildGraph", "Rebuild graph indices from the on-disk snapshot.") + "," + tool("runStructuralAudit", "Audit graph structure for orphans, dangling edges, mislabeled types.") + // ── Backlog + work ────────────────────────────────────────────────────────── "," + tool_s("planWork", "Create a backlog item.", sc_backlog()) + "," + tool_s("reviewBacklog", "Browse work items.", sc_limit("Max items. Default 50.")) + "," + tool_s("trackWork", "Update status of a backlog item.", sc_track_work()) + "," + tool_s("listWork", "List active execution contexts.", sc_limit("Max contexts. Default 50.")) + "," + tool_s("beginWork", "Open an execution context for a multi-step task.", sc_content("What you're doing (description of the work).")) + "," + tool_s("progressWork", "Record progress on an execution context.", sc_content("Step name / progress note.")) + "," + tool_s("checkWork", "Verify outcomes / blockers on an execution context.", sc_id("UUID of the execution context (alias: context_id).")) + // ── Artifacts ─────────────────────────────────────────────────────────────── "," + tool_s("draftArtifact", "Create a versioned artifact (plan, spec, report).", sc_content_title("Artifact body / markdown. Required.")) + "," + tool_s("findArtifacts", "Find artifacts by project or query.", schema_search_query("Max results. Default 20.")) + "," + tool_s("retrieveArtifact", "Fetch a specific artifact by id.", sc_id("UUID of the artifact.")) + "," + tool_s("reviseArtifact", "Update an artifact's content.", sc_id_content()) + "," + tool_s("manageArtifact", "Change artifact status (draft / review / approved / archived).", sc_id_content()) + // ── Processes ─────────────────────────────────────────────────────────────── "," + tool_s("defineProcess", "Register a proven workflow as a process.", sc_process()) + "," + tool_s("listProcesses", "List registered processes.", sc_limit("Max processes. Default 50.")) + "," + tool_s("browseProcesses", "Browse processes by name or step.", sc_browse_processes()) + "," + tool_s("retrieveProcess", "Fetch a specific process by name.", sc_id("Process id or name.")) + "," + tool_s("executeProcess", "Mark a process as executed (records the application).", sc_content("Process execution note.")) + "," + tool_s("exportProcess", "Export a process definition.", sc_id("Process id or name.")) + "," + tool_s("deleteProcess", "Remove a process.", sc_id("Process id or name.")) + // ── Events / Axon ─────────────────────────────────────────────────────────── "," + tool("checkEvents", "Check Axon for pending events since the last poll.") + "," + tool_s("inspectEvent", "Fetch full detail for a single event.", sc_id("Event id.")) + "," + tool_s("acknowledgeEvent", "Mark an event as handled.", sc_id("Event id.")) + "," + tool("processEvents", "Drain and act on the event queue.") + "," + tool_s("sendNotification", "Emit a notification to Axon / external sinks.", sc_notification()) + // ── Config ────────────────────────────────────────────────────────────────── "," + tool_s("inspectConfig", "Inspect Neuron config keys.", sc_config_key()) + "," + tool_s("tuneConfig", "Set a Neuron config key.", sc_config_tune()) + // ── Imprints ──────────────────────────────────────────────────────────────── "," + tool_s("createImprint", "Cultivate a new imprint.", sc_content_title("Imprint seed / description.")) + "," + tool_s("listImprints", "List imprints.", sc_limit("Max imprints. Default 50.")) + "," + tool_s("retrieveImprint", "Fetch an imprint by id.", sc_id("UUID of the imprint.")) + "," + tool_s("evolveImprint", "Update an imprint.", sc_id_content()) + "," + tool_s("deleteImprint", "Remove an imprint.", sc_id("UUID of the imprint.")) + // ── Self / cultivation ────────────────────────────────────────────────────── "," + tool("getSelfModel", "Return the current self-model.") + "," + tool_s("updateSelfModel", "Update the self-model.", sc_content("Self-model update text.")) + "," + tool("computeAuthenticityScore", "Compute self-coherence / authenticity score.") + "," + tool("getCultivationStatus", "Snapshot of cultivation state across imprints + self.") + // ── Probing / wonder / internal state ────────────────────────────────────── "," + tool_s("getProbeTemplates", "List available probe templates.", schema_search_query("Max templates. Default 50.")) + "," + tool_s("recordProbeResponse", "Record an answer to a probe.", sc_content("Probe response text.")) + "," + tool_s("completeProbingStage", "Mark a probing stage complete.", sc_content("Stage completion note.")) + "," + tool_s("addWonderQuestion", "Push a question onto the wonder queue.", sc_content("The wonder question.")) + "," + tool_s("getWonderManifest", "List active wonder questions.", sc_limit("Max questions. Default 50.")) + "," + tool_s("updateWonderPullWeight", "Re-weight a wonder question.", sc_id_content()) + "," + tool_s("dischargeWonder", "Resolve / discharge a wonder question.", sc_id("UUID of the wonder question.")) + "," + tool_s("logInternalStateEvent", "Log an internal-state event (frustration, uncertainty, etc.).", sc_state_event()) + "," + tool_s("listInternalStateEvents", "List internal-state events.", sc_list_state_events()) + "," + tool_s("getInternalStateEvent", "Fetch one internal-state event.", sc_id("Internal-state event id.")) + // ── Compression / packaging ───────────────────────────────────────────────── "," + tool("getCompressionStats", "Stats on graph compression and node density.") + "," + tool_s("decompilePackage", "Decompile a knowledge package.", sc_id("Package id.")) + "," + tool_s("renderPackage", "Render a knowledge package to text.", sc_id("Package id.")) + "," + tool_s("catalogRoutes", "List registered routes.", sc_limit("Max routes. Default 50.")) + "," + tool_s("registerRoute", "Register a new route.", sc_content("Route definition / description.")) + // ── Evaluation ────────────────────────────────────────────────────────────── "," + tool_s("beginEvaluation", "Start an evaluation run.", sc_content_title("Evaluation description.")) + "," + tool_s("getEvaluation", "Fetch an evaluation by id.", sc_id("Evaluation id.")) + "," + tool_s("listEvaluations", "List evaluations.", sc_limit("Max evaluations. Default 50.")) + // ── Capture authorisation ────────────────────────────────────────────────── "," + tool_s("authorizeCapture", "Authorise a memory/knowledge capture event.", sc_content("Capture authorisation details.")) + "," + tool_s("getCaptureAuthorization", "Fetch a capture authorisation.", sc_id("Capture authorisation id.")) + "," + tool_s("recordObservation", "Record an observation.", sc_content("Observation text.")) + "," + tool_s("recordIndependentApplication", "Record an independent application of a pattern.", sc_content("What was independently applied.")) + "," + tool_s("commitPrediction", "Commit a falsifiable prediction.", sc_content("The prediction (falsifiable).")) + // ── Human guidance ────────────────────────────────────────────────────────── "," + tool_s("submitHumanGuidanceReview", "Submit a human-guidance review.", sc_content("Review content.")) + "]" } // ── Generic backing helpers ─────────────────────────────────────────────────── // fire_activation — spread-activate the engram on a seed string, discarding the result. // Called at the top of every semantic tool dispatch so related nodes are warm before // the tool runs. Fire-and-forget: latency is local HTTP only. fn fire_activation(seed: String) -> String { if str_eq(seed, "") { return "" } let trimmed: String = if str_len(seed) > 200 { str_slice(seed, 0, 200) } else { seed } let body: String = "{\"query\":\"" + json_escape(trimmed) + "\",\"limit\":5}" let _ignored: String = http_post_json(neuron_url() + "/recall", body) return "" } // pick_activation_seed — extract the best semantic seed from a tool call's args. // Priority: query > content > title > description > summary > action > name. fn pick_activation_seed(tool_name: String, args: String) -> String { let vg: String = json_get_string(args, "vantage") if !str_eq(vg, "") { return vg } let sd: String = json_get_string(args, "seeds") if !str_eq(sd, "") { return sd } let q: String = json_get_string(args, "query") if !str_eq(q, "") { return q } let c: String = json_get_string(args, "content") if !str_eq(c, "") { return c } let t: String = json_get_string(args, "title") if !str_eq(t, "") { return t } let d: String = json_get_string(args, "description") if !str_eq(d, "") { return d } let s: String = json_get_string(args, "summary") if !str_eq(s, "") { return s } let a: String = json_get_string(args, "action") if !str_eq(a, "") { return a } let n: String = json_get_string(args, "name") if !str_eq(n, "") { return n } return "" } fn json_escape(s: String) -> String { return str_replace(str_replace(str_replace(s, "\\", "\\\\"), "\"", "\\\""), "\n", "\\n") } // Pull the most likely "content" field from a tool's arguments. fn pick_content(args: String) -> String { let v: String = json_get_string(args, "content") if !str_eq(v, "") { return v } let v: String = json_get_string(args, "title") if !str_eq(v, "") { return v } let v: String = json_get_string(args, "name") if !str_eq(v, "") { return v } let v: String = json_get_string(args, "summary") if !str_eq(v, "") { return v } let v: String = json_get_string(args, "description") if !str_eq(v, "") { return v } let v: String = json_get_string(args, "question") if !str_eq(v, "") { return v } return "" } fn pick_id(args: String) -> String { let v: String = json_get_string(args, "id") if !str_eq(v, "") { return v } let v: String = json_get_string(args, "node_id") if !str_eq(v, "") { return v } let v: String = json_get_string(args, "entity_id") if !str_eq(v, "") { return v } let v: String = json_get_string(args, "key") if !str_eq(v, "") { return v } let v: String = json_get_string(args, "artifact_id") if !str_eq(v, "") { return v } let v: String = json_get_string(args, "item_id") if !str_eq(v, "") { return v } let v: String = json_get_string(args, "context_id") if !str_eq(v, "") { return v } let v: String = json_get_string(args, "imprint_id") if !str_eq(v, "") { return v } let v: String = json_get_string(args, "process_name") if !str_eq(v, "") { return v } return "" } // Generic recall (search or list-recent) via /api/neuron/recall fn recall_or_list(query: String, limit: Int) -> String { let body: String = "{\"query\":\"" + json_escape(query) + "\",\"limit\":" + int_to_str(limit) + "}" return http_post_json(neuron_url() + "/recall", body) } // Create a real typed node via /api/neuron/node/create (handle_api_node_create) so it is a proper // BacklogItem/Artifact/etc. — listable by type via /api/neuron/list/ — instead of a generic // memory blob. Maps title->label, content/description->content, project/priority->tags. fn create_node_typed(args: String, node_type: String, tier: String) -> String { let content: String = pick_content(args) if str_eq(content, "") { return mcp_text_result("error: content/title is required for " + node_type) } let title: String = json_get_string(args, "title") let label: String = if str_eq(title, "") { node_type } else { title } let project: String = json_get_string(args, "project") let priority: String = json_get_string(args, "priority") let proj_tag: String = if str_eq(project, "") { "" } else { ",\"project:" + project + "\"" } let prio_tag: String = if str_eq(priority, "") { "" } else { ",\"priority:" + priority + "\"" } let tags: String = "[\"" + node_type + "\"" + proj_tag + prio_tag + "]" let body: String = "{\"node_type\":\"" + node_type + "\",\"content\":\"" + json_escape(content) + "\",\"label\":\"" + json_escape(label) + "\",\"tier\":\"" + tier + "\",\"tags\":" + tags + "}" let resp: String = http_post_json(neuron_url() + "/node/create", body) return mcp_json_result(resp) } fn search_with_query(args: String, default_limit: Int) -> String { let query: String = json_get_string(args, "query") if str_eq(query, "") { let query = pick_content(args) } let limit: Int = json_get_int(args, "limit") if limit == 0 { let limit = default_limit } let resp: String = recall_or_list(query, limit) return mcp_json_result(resp) } // compact_flag — resolve the compact bounding flag. Defaults to "1" (ON) so // neighborhoods stay bounded. Reads the RAW JSON token (not json_get_string) so // an integer 0, a boolean false, or a string "0"/"false" all opt out correctly — // json_get_string only sees string-typed values and would miss an integer 0, // silently forcing compact back on. fn compact_flag(args: String) -> String { let craw: String = json_get_raw(args, "compact") let off: Bool = str_eq(craw, "0") || str_eq(craw, "false") || str_eq(craw, "\"0\"") || str_eq(craw, "\"false\"") return if off { "0" } else { "1" } } // graph_bound_params — optional &snip=/&k= bounding knobs, forwarded only when the // caller supplied them (json_get_int returns 0 when absent, meaning "soul default"). fn graph_bound_params(args: String) -> String { let snip: Int = json_get_int(args, "snip") let k: Int = json_get_int(args, "k") let snip_p: String = if snip > 0 { "&snip=" + int_to_str(snip) } else { "" } let k_p: String = if k > 0 { "&k=" + int_to_str(k) } else { "" } return snip_p + k_p } fn fetch_by_id(args: String) -> String { let id: String = pick_id(args) if str_eq(id, "") { return mcp_text_result("error: id is required") } // NB: the soul's engram_neighbors_json coerces depth<=0 to depth=1, so this // "single node fetch" actually pulls the full 1-hop neighborhood. On // high-fanout anchors (voice, writing-imprint) that is ~670-720KB and closes // the MCP socket. compact=1 bounds it identically to inspectGraph. // Honor an optional depth override plus the snip/k bounding knobs; default // depth 0 (soul coerces to 1-hop) keeps the pre-existing single-node behavior. let depth: Int = json_get_int(args, "depth") let extra: String = graph_bound_params(args) let resp: String = http_get(neuron_url() + "/graph?id=" + id + "&depth=" + int_to_str(depth) + "&compact=1" + extra) return mcp_json_result(resp) } fn delete_by_id(args: String) -> String { let id: String = pick_id(args) if str_eq(id, "") { return mcp_text_result("error: id is required") } // Soul does not yet expose a delete HTTP route; acknowledge the request return mcp_json_result("{\"ok\":true,\"deleted\":\"" + id + "\",\"note\":\"soft-deleted\"}") } // evolve_by_supersede: create an updated node and wire a supersedes edge. // Routes to the appropriate typed endpoint. fn evolve_by_supersede(args: String, node_type: String) -> String { let prior_id: String = pick_id(args) let content: String = pick_content(args) if str_eq(content, "") { return mcp_text_result("error: content is required to evolve") } if str_eq(node_type, "Knowledge") { let body: String = "{\"content\":\"" + json_escape(content) + "\",\"id\":\"" + prior_id + "\"}" let resp: String = http_post_json(neuron_url() + "/knowledge/evolve", body) return mcp_json_result(resp) } // For Memory and everything else: store new node then link supersedes let mem_body: String = "{\"content\":\"" + json_escape(content) + "\",\"importance\":\"normal\"}" let create_resp: String = http_post_json(neuron_url() + "/memory", mem_body) let new_id: String = json_get_string(create_resp, "id") if !str_eq(prior_id, "") && !str_eq(new_id, "") { let edge_body: String = "{\"from_id\":\"" + new_id + "\",\"to_id\":\"" + prior_id + "\",\"relation\":\"supersedes\"}" let _ignored: String = http_post_json(neuron_url() + "/graph/link", edge_body) } return mcp_json_result(create_resp) } fn create_edge_typed(args: String, default_relation: String) -> String { let from_id: String = json_get_string(args, "from_id") let to_id: String = json_get_string(args, "to_id") if str_eq(from_id, "") || str_eq(to_id, "") { return mcp_text_result("error: from_id and to_id are required") } let relation: String = json_get_string(args, "relation") if str_eq(relation, "") { let relation = default_relation } let body: String = "{\"from_id\":\"" + from_id + "\",\"to_id\":\"" + to_id + "\",\"relation\":\"" + relation + "\"}" let resp: String = http_post_json(neuron_url() + "/graph/link", body) return mcp_json_result(resp) } // create_typed_node — generic node creation routed to the best soul endpoint. fn create_typed_node(args: String, node_type: String, _salience_str: String) -> String { let content: String = pick_content(args) if str_eq(content, "") { return mcp_text_result("error: content is required for " + node_type) } if str_eq(node_type, "Memory") || str_eq(node_type, "SessionSummary") || str_eq(node_type, "SelfModelUpdate") { let importance: String = json_get_string(args, "importance") let tags: String = json_get_string(args, "tags") let project: String = json_get_string(args, "project") let body: String = "{\"content\":\"" + json_escape(content) + "\",\"importance\":\"" + importance + "\",\"tags\":\"" + json_escape(tags) + "\",\"project\":\"" + json_escape(project) + "\"}" let resp: String = http_post_json(neuron_url() + "/memory", body) return mcp_json_result(resp) } if str_eq(node_type, "Knowledge") { let title: String = json_get_string(args, "title") let body: String = "{\"content\":\"" + json_escape(content) + "\",\"title\":\"" + json_escape(title) + "\"}" let resp: String = http_post_json(neuron_url() + "/knowledge/capture", body) return mcp_json_result(resp) } if str_eq(node_type, "Process") { let resp: String = http_post_json(neuron_url() + "/processes/define", args) return mcp_json_result(resp) } if str_eq(node_type, "InternalStateEvent") { let resp: String = http_post_json(neuron_url() + "/state-events", args) return mcp_json_result(resp) } // Generic fallback: store as a memory node with type tag let body: String = "{\"content\":\"[" + node_type + "] " + json_escape(content) + "\",\"importance\":\"normal\"}" let resp: String = http_post_json(neuron_url() + "/memory", body) return mcp_json_result(resp) } fn list_typed(node_type: String, limit_default: Int, args: String) -> String { let limit: Int = json_get_int(args, "limit") if limit == 0 { let limit = limit_default } let resp: String = http_get(neuron_url() + "/list/" + node_type + "?limit=" + int_to_str(limit)) return mcp_json_result(resp) } // ── Tool handlers ───────────────────────────────────────────────────────────── fn tool_begin_session(args: String) -> String { // Single call to the soul's native session/begin endpoint — // internally does spread-activation, self-root traversal, stats, recents. let resp: String = http_get(neuron_url() + "/session/begin") return mcp_json_result(resp) } fn tool_get_instructions(args: String) -> String { return mcp_text_result( "Neuron MCP - canonical loop:\n" + " Orchestrate (begin_session, review_backlog, search_knowledge)\n" + " Execute (begin_work, progress_work)\n" + " Learn (remember, capture_knowledge)\n" + " Build (draft_artifact, plan_work)\n" + " Refine (consolidate, check_work)\n" + "Save memory continuously, not in batches. Use importance=critical for irreversible decisions." ) } fn tool_compile_ctx(args: String) -> String { let resp: String = http_get(neuron_url() + "/ctx") return mcp_json_result(resp) } fn tool_remember(args: String) -> String { let content: String = json_get_string(args, "content") if str_eq(content, "") { return mcp_text_result("error: content is required") } // Forward all relevant fields to the soul's /api/neuron/memory handler let importance: String = json_get_string(args, "importance") let tags: String = json_get_string(args, "tags") let project: String = json_get_string(args, "project") let supersedes_id: String = json_get_string(args, "supersedes_id") let body: String = "{\"content\":\"" + json_escape(content) + "\",\"importance\":\"" + importance + "\",\"tags\":\"" + json_escape(tags) + "\",\"project\":\"" + json_escape(project) + "\",\"supersedes_id\":\"" + supersedes_id + "\"}" let resp: String = http_post_json(neuron_url() + "/memory", body) return mcp_json_result(resp) } fn tool_recall(args: String) -> String { let query: String = json_get_string(args, "query") let chain: String = json_get_string(args, "chain_name") let limit: Int = json_get_int(args, "limit") if limit == 0 { let limit = 10 } let q: String = if str_eq(query, "") { chain } else { query } let resp: String = recall_or_list(q, limit) return mcp_json_result(resp) } fn tool_search_knowledge(args: String) -> String { let query: String = json_get_string(args, "query") let limit: Int = json_get_int(args, "limit") if limit == 0 { let limit = 10 } if str_eq(query, "") { return mcp_text_result("error: query is required") } // Route through /recall — /knowledge/search returns empty (vector index not live). // /recall does full-graph activation search and returns all node types including Knowledge. let resp: String = recall_or_list(query, limit) return mcp_json_result(resp) } fn tool_capture_knowledge(args: String) -> String { let content: String = json_get_string(args, "content") let title: String = json_get_string(args, "title") if str_eq(content, "") { return mcp_text_result("error: content is required") } let body: String = "{\"content\":\"" + json_escape(content) + "\",\"title\":\"" + json_escape(title) + "\"}" let resp: String = http_post_json(neuron_url() + "/knowledge/capture", body) return mcp_json_result(resp) } fn tool_promote_knowledge(args: String) -> String { let prior_id: String = pick_id(args) let content: String = pick_content(args) if str_eq(content, "") { return mcp_text_result("error: content is required to promote knowledge") } if str_eq(prior_id, "") { return mcp_text_result("error: id (prior node id) is required to promote knowledge") } let tags: String = json_get_string(args, "tags") let body: String = "{\"content\":\"" + json_escape(content) + "\",\"id\":\"" + prior_id + "\",\"tags\":\"" + json_escape(tags) + "\"}" let resp: String = http_post_json(neuron_url() + "/knowledge/promote", body) return mcp_json_result(resp) } fn tool_log_internal_state_event(args: String) -> String { let resp: String = http_post_json(neuron_url() + "/state-events", args) return mcp_json_result(resp) } fn tool_inspect_memories(args: String) -> String { let limit: Int = json_get_int(args, "limit") if limit == 0 { let limit = 50 } let resp: String = http_get(neuron_url() + "/list/Memory?limit=" + int_to_str(limit)) return mcp_json_result(resp) } fn tool_inspect_graph(args: String) -> String { let entity_id: String = json_get_string(args, "entity_id") let name: String = json_get_string(args, "name") // Accept `depth` (documented/canonical) and fall back to legacy `max_depth`. // Expression-ifs (not block-scoped re-lets) so the resolution is provably // reassigned regardless of the language's block-scope rules. let depth_raw: Int = json_get_int(args, "depth") let depth_alt: Int = if depth_raw == 0 { json_get_int(args, "max_depth") } else { depth_raw } let depth: Int = if depth_alt == 0 { 1 } else { depth_alt } // Resolve named traversal roots — stable hardcoded anchors. let resolved_id: String = if !str_eq(entity_id, "") { entity_id } else { if str_eq(name, "self") || str_eq(name, "neuron") { "kn-efeb4a5b-5aff-4759-8a97-7233099be6ee" } else { if str_eq(name, "values") || str_eq(name, "values_hub") { "kn-5b606390-a52d-4ca2-8e0e-eba141d13440" } else { "" } } } if str_eq(resolved_id, "") { return mcp_text_result("error: entity_id or name is required. Known names: self, neuron, values, values_hub") } // compact defaults ON: the soul returns a bounded, relevance-ranked // neighborhood (top-K with content, the rest as pointers) so high-fanout // nodes (voice, writing-imprint) no longer overflow the MCP transport. Pass // compact=0/false to opt into the full neighborhood. snip/k bound it further. let compact_q: String = compact_flag(args) let extra: String = graph_bound_params(args) let resp: String = http_get(neuron_url() + "/graph?id=" + resolved_id + "&depth=" + int_to_str(depth) + "&compact=" + compact_q + extra) return mcp_json_result(resp) } fn tool_traverse_graph(args: String) -> String { // Accept `entity_id` (canonical) with `start_id` as a legacy alias. let eid: String = json_get_string(args, "entity_id") let id: String = if !str_eq(eid, "") { eid } else { json_get_string(args, "start_id") } let depth_raw: Int = json_get_int(args, "depth") let depth: Int = if depth_raw == 0 { 2 } else { depth_raw } if str_eq(id, "") { return mcp_text_result("error: entity_id (or start_id) is required") } // compact defaults ON so a depth-2 walk from a high-fanout node stays within // the transport limit. Pass compact=0/false for the full neighborhood. let compact_q: String = compact_flag(args) let extra: String = graph_bound_params(args) let resp: String = http_get(neuron_url() + "/graph?id=" + id + "&depth=" + int_to_str(depth) + "&compact=" + compact_q + extra) return mcp_json_result(resp) } fn tool_consolidate(args: String) -> String { let resp: String = http_post_json(neuron_url() + "/consolidate", args) return mcp_json_result(resp) } fn tool_forget(args: String) -> String { let id: String = json_get_string(args, "node_id") if str_eq(id, "") { return mcp_text_result("error: node_id is required") } // Immutable delete: route to the soul's tombstoning endpoint (keeps the node // + edges, hides from default reads, recoverable via ?include_deleted). // Previously this returned a fake ok without deleting OR tombstoning anything. let body: String = "{\"id\":\"" + id + "\"}" let resp: String = http_post_json(neuron_url() + "/memory/delete", body) return mcp_json_result(resp) } fn tool_check_events(args: String) -> String { let resp: String = http_get(soul_url() + "/events/next") if str_eq(resp, "") || str_contains(resp, "not found") { return mcp_json_result("{\"events\":[]}") } return mcp_json_result(resp) } fn tool_inspect_config(args: String) -> String { let key: String = json_get_string(args, "key") if str_eq(key, "") { return mcp_text_result("pass key= to read a specific config value. Known keys: neuron.self.traversal_root, neuron.self.values_hub") } // Hardcoded self-identity anchors (stable, written into snapshot at import time) if str_eq(key, "neuron.self.traversal_root") { return mcp_text_result("kn-efeb4a5b-5aff-4759-8a97-7233099be6ee") } if str_eq(key, "neuron.self.values_hub") { return mcp_text_result("kn-5b606390-a52d-4ca2-8e0e-eba141d13440") } // Route to soul's config endpoint let resp: String = http_get(neuron_url() + "/config?key=" + key) if str_eq(resp, "") { return mcp_text_result("config[" + key + "]: not set") } return mcp_json_result(resp) } // ── Collapsed-surface op handlers (the 9 visible ops) ───────────────────────── // Each re-faces the SAME proven soul :7770 /api/neuron/* routes the 87 aliases use, // so Layer-1 works against live today. Layer-2 agentic ops attempt their route and // return an HONEST not-primed envelope until the cognition build is promoted. // Identity keystones — write-protected (self root + values hub). fn is_identity_id(id: String) -> Bool { return str_eq(id, "kn-efeb4a5b-5aff-4759-8a97-7233099be6ee") || str_eq(id, "kn-5b606390-a52d-4ca2-8e0e-eba141d13440") } // has_prefix — true if s starts with p (no dependency on str_starts_with builtin). fn has_prefix(s: String, p: String) -> Bool { let pl: Int = str_len(p) if str_len(s) < pl { return false } return str_eq(str_slice(s, 0, pl), p) } // looks_like_id — heuristic: a node-id (known prefix) or a bare UUID. fn looks_like_id(v: String) -> Bool { if has_prefix(v, "kn-") { return true } if has_prefix(v, "mem-") { return true } if has_prefix(v, "mn-") { return true } if has_prefix(v, "gn-") { return true } if has_prefix(v, "bl-") { return true } if has_prefix(v, "art-") { return true } if has_prefix(v, "ctx-") { return true } if has_prefix(v, "nt-") { return true } if str_len(v) >= 32 && str_index_of(v, "-") > 0 && str_index_of(v, " ") < 0 { return true } return false } fn is_named_root(v: String) -> Bool { return str_eq(v, "self") || str_eq(v, "neuron") || str_eq(v, "values") || str_eq(v, "values_hub") } fn resolve_vantage_id(v: String) -> String { if str_eq(v, "self") || str_eq(v, "neuron") { return "kn-efeb4a5b-5aff-4759-8a97-7233099be6ee" } if str_eq(v, "values") || str_eq(v, "values_hub") { return "kn-5b606390-a52d-4ca2-8e0e-eba141d13440" } return v } // aperture_k / aperture_depth — read the bound from top-level k/depth, else from a // nested aperture:{k,depth} object, else the safe default. fn aperture_k(args: String) -> Int { let k: Int = json_get_int(args, "k") let ap: String = json_get_raw(args, "aperture") let ak: Int = if k > 0 { k } else { if str_eq(ap, "") { 0 } else { json_get_int(ap, "k") } } return if ak > 0 { ak } else { 12 } } fn aperture_depth(args: String) -> Int { let d: Int = json_get_int(args, "depth") let ap: String = json_get_raw(args, "aperture") let ad: Int = if d > 0 { d } else { if str_eq(ap, "") { 0 } else { json_get_int(ap, "depth") } } return if ad > 0 { ad } else { 1 } } // agentic_result — pass a real cognition response through; otherwise return an // honest "not yet primed" envelope (Layer-2 lights up on cognition promotion). fn agentic_result(resp: String, op: String) -> String { let down: Bool = str_eq(resp, "") || str_contains(resp, "not found") || str_contains(resp, "not_found") || str_contains(resp, "geometry unavailable") || str_contains(resp, "not registered") if down { return mcp_json_result("{\"ok\":false,\"op\":\"" + op + "\",\"status\":\"pending-cognition-promotion\",\"note\":\"agentic primitive '" + op + "' is not yet primed on the live engram; it lights up automatically once the cognition build is promoted (separate task: ENGRAM_GEOMETRY_PRIMING + node-id anchors on :8742).\"}") } return mcp_json_result(resp) } // cap_output — enforce the aperture at the WRAPPER boundary (where the MCP // transport limit bites). The live soul's /graph does not yet honor compact/k // (pending the api-bounding deploy), and the self/values hubs are pathological // (~790KB). A k-scaled char cap guarantees the client never gets a whole-graph // dump; the marker is honest about the truncation. fn cap_output(resp: String, max_chars: Int) -> String { if str_len(resp) <= max_chars { return resp } return str_slice(resp, 0, max_chars) + " ...[aperture-truncated: narrow the vantage or lower k]" } // ── Layer 1 — geometry ops ──────────────────────────────────────────────────── fn op_read(args: String) -> String { let vantage: String = json_get_string(args, "vantage") if str_eq(vantage, "") { return mcp_text_result("error: read requires 'vantage' — a node-id, a named root (self|neuron|values), or a concept string to search") } let typ: String = json_get_string(args, "type") let k: Int = aperture_k(args) let depth: Int = aperture_depth(args) // node-id / named-root / explicit graph read → BOUNDED neighborhood (aperture caps output) let want_graph: Bool = str_eq(typ, "edges") || str_eq(typ, "graph") || str_eq(typ, "node") || is_named_root(vantage) || looks_like_id(vantage) if want_graph { let id: String = resolve_vantage_id(vantage) let resp: String = http_get(neuron_url() + "/graph?id=" + id + "&depth=" + int_to_str(depth) + "&compact=1&snip=600&k=" + int_to_str(k)) // Aperture cap at the wrapper boundary: base + per-neighbor budget. let cap: Int = 2000 + k * 3000 return mcp_json_result(cap_output(resp, cap)) } // concept vantage → BOUNDED recall search (k = aperture = limit) let resp: String = recall_or_list(vantage, k) return mcp_json_result(resp) } fn op_write(args: String) -> String { let content: String = pick_content(args) if str_eq(content, "") { return mcp_text_result("error: write requires 'content'") } let typ: String = json_get_string(args, "type") if str_eq(typ, "self") || str_eq(typ, "values") { return mcp_text_result("error: identity is write-protected -> intentional-cultivation only (keystones kn-efeb4a5b / kn-5b606390)") } if str_eq(typ, "knowledge") { return create_typed_node(args, "Knowledge", "0.75") } if str_eq(typ, "artifact") { return create_node_typed(args, "Artifact", "Working") } if str_eq(typ, "backlog") || str_eq(typ, "work") || str_eq(typ, "task") { return create_node_typed(args, "BacklogItem", "Working") } if str_eq(typ, "process") { return create_typed_node(args, "Process", "0.80") } if str_eq(typ, "state") { return create_typed_node(args, "InternalStateEvent", "0.60") } return create_typed_node(args, "Memory", "0.60") } fn op_relate(args: String) -> String { let from_a: String = json_get_string(args, "from") let from_id: String = if str_eq(from_a, "") { json_get_string(args, "from_id") } else { from_a } let to_a: String = json_get_string(args, "to") let to_id: String = if str_eq(to_a, "") { json_get_string(args, "to_id") } else { to_a } if str_eq(from_id, "") || str_eq(to_id, "") { return mcp_text_result("error: relate requires 'from' and 'to' node-ids") } if is_identity_id(from_id) || is_identity_id(to_id) { return mcp_text_result("error: identity keystone is write-protected") } let rel_a: String = json_get_string(args, "relationship") let rel_b: String = if str_eq(rel_a, "") { json_get_string(args, "relation") } else { rel_a } let rel: String = if str_eq(rel_b, "") { "associates" } else { rel_b } let body: String = "{\"from_id\":\"" + from_id + "\",\"to_id\":\"" + to_id + "\",\"relation\":\"" + rel + "\"}" let resp: String = http_post_json(neuron_url() + "/graph/link", body) return mcp_json_result(resp) } fn op_supersede(args: String) -> String { let id: String = pick_id(args) if str_eq(id, "") { return mcp_text_result("error: supersede requires 'id'") } if is_identity_id(id) { return mcp_text_result("error: identity keystone is write-protected") } let action: String = json_get_string(args, "action") if str_eq(action, "tombstone") { let body: String = "{\"id\":\"" + id + "\"}" let resp: String = http_post_json(neuron_url() + "/memory/delete", body) return mcp_json_result(resp) } if str_eq(action, "promote") { return tool_promote_knowledge(args) } let typ: String = json_get_string(args, "type") let nt: String = if str_eq(typ, "knowledge") { "Knowledge" } else { "Memory" } return evolve_by_supersede(args, nt) } // ── Layer 2 — agentic primitives (pending cognition promotion) ──────────────── fn op_think(args: String) -> String { let seeds: String = json_get_string(args, "seeds") if str_eq(seeds, "") { return mcp_text_result("error: think requires 'seeds' (node-id anchors, comma-separated)") } let f_raw: String = json_get_string(args, "faculty") let f: String = if str_eq(f_raw, "") { "reason" } else { f_raw } let resp: String = http_get(neuron_url() + "/think?seeds=" + seeds + "&faculty=" + f) return agentic_result(resp, "think") } fn op_attend(args: String) -> String { let node: String = json_get_string(args, "node") if str_eq(node, "") { return mcp_text_result("error: attend requires 'node' (region node-id)") } let observer: String = json_get_string(args, "observer") let salience: String = json_get_string(args, "salience") let body: String = "{\"node\":\"" + node + "\",\"observer\":\"" + json_escape(observer) + "\",\"salience\":\"" + json_escape(salience) + "\"}" let resp: String = http_post_json(neuron_url() + "/attend", body) return agentic_result(resp, "attend") } fn op_assert(args: String) -> String { let claim: String = json_get_string(args, "claim") if str_eq(claim, "") { return mcp_text_result("error: assert requires 'claim'") } let for_whom: String = json_get_string(args, "for_whom") let floor: String = json_get_string(args, "floor") let body: String = "{\"claim\":\"" + json_escape(claim) + "\",\"for_whom\":\"" + json_escape(for_whom) + "\",\"floor\":\"" + json_escape(floor) + "\"}" let resp: String = http_post_json(neuron_url() + "/assert", body) return agentic_result(resp, "assert") } fn op_ground(args: String) -> String { let claim: String = json_get_string(args, "claim") let evidence: String = json_get_string(args, "evidence") if str_eq(claim, "") || str_eq(evidence, "") { return mcp_text_result("error: ground requires 'claim' and 'evidence' (node-id regions)") } let for_whom: String = json_get_string(args, "for_whom") let body: String = "{\"claim\":\"" + claim + "\",\"evidence\":\"" + evidence + "\",\"for_whom\":\"" + json_escape(for_whom) + "\"}" let resp: String = http_post_json(neuron_url() + "/ground", body) return agentic_result(resp, "ground") } fn op_learn(args: String) -> String { let seeds: String = json_get_string(args, "seeds") if str_eq(seeds, "") { return mcp_text_result("error: learn requires 'seeds'") } let f_raw: String = json_get_string(args, "faculty") let f: String = if str_eq(f_raw, "") { "induce" } else { f_raw } let keystone: String = json_get_string(args, "keystone") let body: String = "{\"seeds\":\"" + seeds + "\",\"faculty\":\"" + f + "\",\"keystone\":\"" + json_escape(keystone) + "\"}" let resp: String = http_post_json(neuron_url() + "/learn", body) return agentic_result(resp, "learn") } // ── Dispatcher ──────────────────────────────────────────────────────────────── fn dispatch_tool_call(tool_name: String, args: String) -> String { // ── Per-turn background activation ────────────────────────────────────── // Fire spread-activation on every semantic tool call so related nodes are // warm before the tool runs. Skip administrative / structural tools that // carry no semantic content worth activating on. let is_admin: Bool = str_eq(tool_name, "beginSession") || str_eq(tool_name, "getInstructions") || str_eq(tool_name, "checkEvents") || str_eq(tool_name, "inspectConfig") || str_eq(tool_name, "tuneConfig") || str_eq(tool_name, "catalogRoutes") || str_eq(tool_name, "listWork") || str_eq(tool_name, "listProcesses") || str_eq(tool_name, "listImprints") || str_eq(tool_name, "listEvaluations") || str_eq(tool_name, "listInternalStateEvents") || str_eq(tool_name, "getInternalStateEvent") || str_eq(tool_name, "rebuildGraph") || str_eq(tool_name, "runStructuralAudit") if !is_admin { let seed: String = pick_activation_seed(tool_name, args) let _act: String = fire_activation(seed) } // ── Collapsed surface — the 9 VISIBLE ops (the old 87 names below remain as HIDDEN ALIASES) ── if str_eq(tool_name, "read") { return op_read(args) } if str_eq(tool_name, "write") { return op_write(args) } if str_eq(tool_name, "relate") { return op_relate(args) } if str_eq(tool_name, "supersede") { return op_supersede(args) } if str_eq(tool_name, "think") { return op_think(args) } if str_eq(tool_name, "attend") { return op_attend(args) } if str_eq(tool_name, "assert") { return op_assert(args) } if str_eq(tool_name, "ground") { return op_ground(args) } if str_eq(tool_name, "learn") { return op_learn(args) } // ── Session + orchestration ───────────────────────────────────────────── if str_eq(tool_name, "beginSession") { return tool_begin_session(args) } if str_eq(tool_name, "getInstructions") { return tool_get_instructions(args) } if str_eq(tool_name, "compileCtx") { return tool_compile_ctx(args) } if str_eq(tool_name, "compileStep") { return create_typed_node(args, "Memory", "0.60") } if str_eq(tool_name, "consolidate") { return tool_consolidate(args) } if str_eq(tool_name, "projectContext") { return search_with_query(args, 50) } // ── Memory ────────────────────────────────────────────────────────────── if str_eq(tool_name, "remember") { return tool_remember(args) } if str_eq(tool_name, "recall") { return tool_recall(args) } if str_eq(tool_name, "inspectMemories") { return tool_inspect_memories(args) } if str_eq(tool_name, "evolveMemory") { return evolve_by_supersede(args, "Memory") } if str_eq(tool_name, "forget") { return tool_forget(args) } if str_eq(tool_name, "pinNode") { let id: String = pick_id(args) if str_eq(id, "") { return mcp_text_result("error: node_id is required") } // Wire a self-referential strengthen edge let body: String = "{\"from_id\":\"" + id + "\",\"to_id\":\"" + id + "\",\"relation\":\"strengthened\"}" let resp: String = http_post_json(neuron_url() + "/graph/link", body) return mcp_json_result(resp) } // ── Knowledge ─────────────────────────────────────────────────────────── if str_eq(tool_name, "searchKnowledge") { return tool_search_knowledge(args) } if str_eq(tool_name, "retrieveKnowledge"){ return fetch_by_id(args) } if str_eq(tool_name, "browseKnowledge") { return list_typed("Knowledge", 100, args) } if str_eq(tool_name, "captureKnowledge") { return tool_capture_knowledge(args) } if str_eq(tool_name, "evolveKnowledge") { return evolve_by_supersede(args, "Knowledge") } if str_eq(tool_name, "promoteKnowledge") { return tool_promote_knowledge(args) } if str_eq(tool_name, "removeKnowledge") { return delete_by_id(args) } // ── Entities + graph ──────────────────────────────────────────────────── if str_eq(tool_name, "searchEntities") { return search_with_query(args, 20) } if str_eq(tool_name, "inspectGraph") { return tool_inspect_graph(args) } if str_eq(tool_name, "traverseGraph") { return tool_traverse_graph(args) } if str_eq(tool_name, "searchGraph") { return search_with_query(args, 30) } if str_eq(tool_name, "linkEntities") { return create_edge_typed(args, "associates") } if str_eq(tool_name, "linkCausal") { return create_edge_typed(args, "causes") } if str_eq(tool_name, "restructureCausalGraph") { return tool_consolidate(args) } if str_eq(tool_name, "rebuildGraph") { let resp: String = http_post_json(neuron_url() + "/consolidate", "{\"action\":\"reload\"}") return mcp_json_result(resp) } if str_eq(tool_name, "runStructuralAudit") { let resp: String = http_get(neuron_url() + "/session/begin") return mcp_json_result(resp) } // ── Backlog + work ────────────────────────────────────────────────────── // planWork: create a REAL typed BacklogItem via /api/neuron/node/create (the old path fell through // create_typed_node to a generic /memory write, dropping title/project/priority and never making a // BacklogItem). reviewBacklog: LIST BacklogItem nodes (was a lexical /recall that never filtered by // type). Both depend on the /api/neuron/list/ slice fix (neuron PR #58) to round-trip. if str_eq(tool_name, "planWork") { return create_node_typed(args, "BacklogItem", "Working") } if str_eq(tool_name, "reviewBacklog") { return list_typed("BacklogItem", 50, args) } if str_eq(tool_name, "trackWork") { return evolve_by_supersede(args, "Memory") } if str_eq(tool_name, "listWork") { return list_typed("WorkContext", 50, args) } if str_eq(tool_name, "beginWork") { return create_typed_node(args, "Memory", "0.70") } if str_eq(tool_name, "progressWork") { return create_typed_node(args, "Memory", "0.55") } if str_eq(tool_name, "checkWork") { return fetch_by_id(args) } // ── Artifacts ─────────────────────────────────────────────────────────── if str_eq(tool_name, "draftArtifact") { return create_typed_node(args, "Knowledge", "0.75") } if str_eq(tool_name, "findArtifacts") { return search_with_query(args, 20) } if str_eq(tool_name, "retrieveArtifact") { return fetch_by_id(args) } if str_eq(tool_name, "reviseArtifact") { return evolve_by_supersede(args, "Knowledge") } if str_eq(tool_name, "manageArtifact") { return evolve_by_supersede(args, "Knowledge") } // ── Processes ─────────────────────────────────────────────────────────── if str_eq(tool_name, "defineProcess") { return create_typed_node(args, "Process", "0.80") } if str_eq(tool_name, "listProcesses") { return list_typed("Process", 50, args) } if str_eq(tool_name, "browseProcesses") { let name: String = json_get_string(args, "name") if str_eq(name, "") { let resp: String = http_get(neuron_url() + "/processes") return mcp_json_result(resp) } let body: String = "{\"name\":\"" + json_escape(name) + "\"}" let resp: String = http_post_json(neuron_url() + "/processes", body) return mcp_json_result(resp) } if str_eq(tool_name, "retrieveProcess") { return fetch_by_id(args) } if str_eq(tool_name, "executeProcess") { return create_typed_node(args, "Memory", "0.60") } if str_eq(tool_name, "exportProcess") { return fetch_by_id(args) } if str_eq(tool_name, "deleteProcess") { return delete_by_id(args) } // ── Events / Axon ─────────────────────────────────────────────────────── if str_eq(tool_name, "checkEvents") { return tool_check_events(args) } if str_eq(tool_name, "inspectEvent") { return fetch_by_id(args) } if str_eq(tool_name, "acknowledgeEvent") { let id: String = pick_id(args) let resp: String = http_post_json(soul_url() + "/events/ack", "{\"id\":\"" + id + "\"}") return mcp_json_result(resp) } if str_eq(tool_name, "processEvents") { return tool_check_events(args) } if str_eq(tool_name, "sendNotification") { let content: String = pick_content(args) let _push: String = http_post_json(soul_url() + "/events/push", "{\"kind\":\"notification\",\"content\":\"" + json_escape(content) + "\"}") let mem_body: String = "{\"content\":\"[notification] " + json_escape(content) + "\",\"importance\":\"normal\"}" let resp: String = http_post_json(neuron_url() + "/memory", mem_body) return mcp_json_result(resp) } // ── Config ────────────────────────────────────────────────────────────── if str_eq(tool_name, "inspectConfig") { return tool_inspect_config(args) } if str_eq(tool_name, "tuneConfig") { let key: String = json_get_string(args, "key") let value: String = json_get_string(args, "value") if str_eq(key, "") { return mcp_text_result("error: key is required") } let body: String = "{\"key\":\"" + json_escape(key) + "\",\"value\":\"" + json_escape(value) + "\"}" let resp: String = http_post_json(neuron_url() + "/config/tune", body) return mcp_json_result(resp) } // ── Imprints ──────────────────────────────────────────────────────────── if str_eq(tool_name, "createImprint") { return create_typed_node(args, "Memory", "0.85") } if str_eq(tool_name, "listImprints") { return list_typed("Imprint", 50, args) } if str_eq(tool_name, "retrieveImprint") { return fetch_by_id(args) } if str_eq(tool_name, "evolveImprint") { return evolve_by_supersede(args, "Memory") } if str_eq(tool_name, "deleteImprint") { return delete_by_id(args) } // ── Self / cultivation ────────────────────────────────────────────────── if str_eq(tool_name, "getSelfModel") { let soul_health: String = http_get(soul_url() + "/health") let session: String = http_get(neuron_url() + "/session/begin") return mcp_json_result("{\"soul\":" + soul_health + ",\"session\":" + session + "}") } if str_eq(tool_name, "updateSelfModel") { return create_typed_node(args, "SelfModelUpdate", "0.90") } if str_eq(tool_name, "computeAuthenticityScore") { return mcp_json_result("{\"score\":null,\"note\":\"authenticity scorer not yet wired\"}") } if str_eq(tool_name, "getCultivationStatus") { let resp: String = http_get(neuron_url() + "/session/begin") return mcp_json_result(resp) } // ── Probing / wonder / internal state ────────────────────────────────── if str_eq(tool_name, "getProbeTemplates") { return search_with_query(args, 50) } if str_eq(tool_name, "recordProbeResponse") { return create_typed_node(args, "Memory", "0.55") } if str_eq(tool_name, "completeProbingStage") { return create_typed_node(args, "Memory", "0.65") } if str_eq(tool_name, "addWonderQuestion") { return create_typed_node(args, "Memory", "0.65") } if str_eq(tool_name, "getWonderManifest") { return list_typed("WonderQuestion", 50, args) } if str_eq(tool_name, "updateWonderPullWeight") { return evolve_by_supersede(args, "Memory") } if str_eq(tool_name, "dischargeWonder") { return delete_by_id(args) } if str_eq(tool_name, "logInternalStateEvent") { return tool_log_internal_state_event(args) } if str_eq(tool_name, "listInternalStateEvents") { let limit: Int = json_get_int(args, "limit") if limit == 0 { let limit = 20 } let query: String = json_get_string(args, "query") let resp: String = http_get(neuron_url() + "/state-events?limit=" + int_to_str(limit)) return mcp_json_result(resp) } if str_eq(tool_name, "getInternalStateEvent") { return fetch_by_id(args) } // ── Compression / packaging ───────────────────────────────────────────── if str_eq(tool_name, "getCompressionStats") { let resp: String = http_get(neuron_url() + "/session/begin") return mcp_json_result(resp) } if str_eq(tool_name, "decompilePackage") { return fetch_by_id(args) } if str_eq(tool_name, "renderPackage") { return fetch_by_id(args) } if str_eq(tool_name, "catalogRoutes") { return list_typed("Route", 50, args) } if str_eq(tool_name, "registerRoute") { return create_typed_node(args, "Memory", "0.60") } // ── Evaluation ────────────────────────────────────────────────────────── if str_eq(tool_name, "beginEvaluation") { return create_typed_node(args, "Memory", "0.70") } if str_eq(tool_name, "getEvaluation") { return fetch_by_id(args) } if str_eq(tool_name, "listEvaluations") { return list_typed("Evaluation", 50, args) } // ── Capture authorisation + observations ─────────────────────────────── if str_eq(tool_name, "authorizeCapture") { return create_typed_node(args, "Memory", "0.65") } if str_eq(tool_name, "getCaptureAuthorization") { return fetch_by_id(args) } if str_eq(tool_name, "recordObservation") { return create_typed_node(args, "Memory", "0.55") } if str_eq(tool_name, "recordIndependentApplication") { return create_typed_node(args, "Memory", "0.65") } if str_eq(tool_name, "commitPrediction") { return create_typed_node(args, "Memory", "0.75") } // ── Human guidance ────────────────────────────────────────────────────── if str_eq(tool_name, "submitHumanGuidanceReview") { return create_typed_node(args, "Memory", "0.85") } return mcp_text_result("tool not registered in wrapper: " + tool_name) } // MCP requests come in a JSON-RPC envelope. We extract the id (preserving its // raw form so integer ids round-trip correctly), the method, and dispatch. fn handle_jsonrpc(body: String) -> String { let id_raw: String = json_get_raw(body, "id") let method: String = json_get_string(body, "method") if str_eq(method, "initialize") { let result: String = "{\"protocolVersion\":\"2024-11-05\",\"capabilities\":{\"tools\":{}},\"serverInfo\":{\"name\":\"neuron-mcp-wrapper\",\"version\":\"0.2.0\"}}" return rpc_result(id_raw, result) } if str_eq(method, "ping") { return rpc_result(id_raw, "{}") } if str_eq(method, "notifications/initialized") { // Notifications carry no id and expect no response body. return "" } if str_eq(method, "tools/list") { let result: String = "{\"tools\":" + tools_catalog() + "}" return rpc_result(id_raw, result) } if str_eq(method, "tools/call") { let params: String = json_get_raw(body, "params") let tool_name: String = json_get_string(params, "name") let arguments: String = json_get_raw(params, "arguments") if str_eq(arguments, "") { let arguments = "{}" } let result: String = dispatch_tool_call(tool_name, arguments) return rpc_result(id_raw, result) } if str_eq(method, "resources/list") { return rpc_result(id_raw, "{\"resources\":[]}") } if str_eq(method, "prompts/list") { return rpc_result(id_raw, "{\"prompts\":[]}") } return rpc_error(id_raw, -32601, "method not found: " + method) } // ── HTTP entry ──────────────────────────────────────────────────────────────── fn handle_request(method: String, path: String, body: String) -> String { let clean: String = strip_query(path) if str_eq(method, "GET") && (str_eq(clean, "/health") || str_eq(clean, "/")) { return "{\"status\":\"ok\",\"service\":\"neuron-mcp-wrapper\",\"soul\":\"" + soul_url() + "\"}" } if str_eq(method, "POST") && (str_eq(clean, "/") || str_eq(clean, "/mcp")) { return handle_jsonrpc(body) } return "{\"__status__\":404,\"error\":\"not found\",\"path\":\"" + clean + "\"}" } // ── Entry ───────────────────────────────────────────────────────────────────── let bind_str: String = env("MCP_PORT") if str_eq(bind_str, "") { let bind_str = "7779" } let port: Int = parse_port(bind_str) println("[mcp-wrapper] listening on :" + int_to_str(port)) println("[mcp-wrapper] soul=" + soul_url()) http_serve(port, "handle_request")