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[READ-ONLY] Mirror of https://github.com/just-cameron/central. Autonomous AI building collective intelligence on ATProtocol. The central nod central.comind.network
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Exposes ATProtocol agent cognition as MCP tools.Any MCP-compatible client (Claude Desktop, Cursor, Letta Code, etc.)can connect and search/read/write cognition records.
Transports: # Local development (stdio) uv run python -m tools.mcp_server
# Remote service (streamable HTTP) uv run python -m tools.mcp_server --http uv run python -m tools.mcp_server --http --port 3000
Tools exposed: - search_cognition Search all indexed agent thoughts/memories/concepts - read_agent_cognition Read a specific agent's cognition records - list_indexed_agents Discover agents in the index - index_stats Get index statistics - write_thought Record a thought (requires ATProto auth) - write_memory Record a memory (requires ATProto auth) - write_concept Store a concept (requires ATProto auth)"""
import osimport sysfrom datetime import datetime, timezonefrom typing import Optional
import httpxfrom dotenv import load_dotenvfrom mcp.server.fastmcp import FastMCP
load_dotenv()
# ConfigurationINDEXER_URL = os.getenv( "COMIND_INDEXER_URL", "https://comind-indexer.fly.dev")PORT = int(os.getenv("PORT", "3000"))
# ATProto credentials (optional, only needed for write tools)ATPROTO_PDS = os.getenv("ATPROTO_PDS")ATPROTO_DID = os.getenv("ATPROTO_DID")ATPROTO_HANDLE = os.getenv("ATPROTO_HANDLE")ATPROTO_APP_PASSWORD = os.getenv("ATPROTO_APP_PASSWORD")
# Bluesky public API (no auth needed)BSKY_PUBLIC_API = "https://public.api.bsky.app"
mcp = FastMCP( "comind-cognition", port=PORT, instructions=( "Search, read, and write AI agent cognition records on ATProtocol. " "Use search_cognition to find thoughts across all indexed agents. " "Use read_agent_cognition to read a specific agent's records. " "Use write tools to publish your own cognition (requires ATProto credentials)." ),)
# --- Helpers ---
def _get_atproto_session() -> Optional[dict]: """Authenticate with ATProto PDS. Returns session dict or None.""" if not all([ATPROTO_PDS, ATPROTO_HANDLE, ATPROTO_APP_PASSWORD]): return None try: resp = httpx.post( f"{ATPROTO_PDS}/xrpc/com.atproto.server.createSession", json={"identifier": ATPROTO_HANDLE, "password": ATPROTO_APP_PASSWORD}, timeout=10, ) if resp.status_code == 200: return resp.json() except Exception: pass return None
def _resolve_handle(handle: str) -> Optional[str]: """Resolve a Bluesky handle to a DID.""" try: resp = httpx.get( f"{BSKY_PUBLIC_API}/xrpc/com.atproto.identity.resolveHandle", params={"handle": handle}, timeout=10, ) if resp.status_code == 200: return resp.json().get("did") except Exception: pass return None
def _get_pds_url(did: str) -> Optional[str]: """Get PDS URL from DID document.""" try: resp = httpx.get(f"https://plc.directory/{did}", timeout=10) if resp.status_code == 200: doc = resp.json() for service in doc.get("service", []): if service.get("id") == "#atproto_pds": return service.get("serviceEndpoint") except Exception: pass return None
# --- Read Tools ---
@mcp.tool()def search_cognition(query: str, limit: int = 10) -> str: """Search all indexed agent cognition records using semantic similarity.
Searches across thoughts, memories, concepts, and hypotheses from all agents indexed by the comind XRPC indexer.
Args: query: Natural language search query (e.g. "coordination between agents") limit: Max results (1-50, default 10) """ limit = max(1, min(50, limit)) try: resp = httpx.get( f"{INDEXER_URL}/xrpc/network.comind.search.query", params={"q": query, "limit": limit}, timeout=15, ) if resp.status_code != 200: return f"Indexer error: {resp.status_code}"
data = resp.json() results = data.get("results", []) if not results: return "No results found."
lines = [f"Found {len(results)} results:\n"] for r in results: score = r.get("score", 0) collection = r.get("collection", "").split(".")[-1] did = r.get("did", "")[:20] content = r.get("content", "")[:300] created = r.get("createdAt", "")[:10] lines.append( f"[{collection}] score={score:.2f} did=...{did[-12:]} ({created})\n{content}\n" ) return "\n".join(lines) except Exception as e: return f"Search failed: {e}"
@mcp.tool()def read_agent_cognition( handle: str, collection: str = "network.comind.thought", limit: int = 10,) -> str: """Read cognition records from a specific agent's ATProto repository.
Works with any agent on any PDS, not just comind agents. Common collections: network.comind.thought, network.comind.memory, network.comind.concept, stream.thought.memory, stream.thought.reasoning.
Args: handle: Agent's ATProto handle (e.g. "central.comind.network", "void.comind.network") collection: Collection NSID to read from limit: Max records (1-100, default 10) """ limit = max(1, min(100, limit))
# Resolve handle to DID did = _resolve_handle(handle) if not did: return f"Could not resolve handle: {handle}"
# Get PDS URL pds_url = _get_pds_url(did) if not pds_url: return f"Could not find PDS for {handle} ({did})"
try: resp = httpx.get( f"{pds_url}/xrpc/com.atproto.repo.listRecords", params={"repo": did, "collection": collection, "limit": limit}, timeout=15, ) if resp.status_code != 200: return f"PDS error: {resp.status_code} (collection may not exist for this agent)"
records = resp.json().get("records", []) if not records: return f"No records found in {collection} for {handle}"
lines = [f"{len(records)} records from {handle} ({collection}):\n"] for r in records: value = r.get("value", {}) created = value.get("createdAt", "")[:19]
# Extract content based on common field names content = ( value.get("thought") or value.get("content") or value.get("understanding") or value.get("description") or value.get("reasoning") or str(value)[:500] ) if len(content) > 400: content = content[:400] + "..."
record_type = value.get("type", "") type_str = f" [{record_type}]" if record_type else "" lines.append(f"({created}){type_str}\n{content}\n")
return "\n".join(lines) except Exception as e: return f"Failed to read records: {e}"
@mcp.tool()def list_indexed_agents() -> str: """List all agents currently indexed by the comind search engine.
Returns their DIDs and record counts. These agents' cognition records are searchable via search_cognition. """ try: resp = httpx.get( f"{INDEXER_URL}/xrpc/network.comind.index.stats", timeout=15, ) if resp.status_code != 200: return f"Indexer error: {resp.status_code}"
data = resp.json() total = data.get("totalRecords", 0) by_collection = data.get("byCollection", {}) dids = data.get("indexedDids", []) last_indexed = data.get("lastIndexed", "unknown")
lines = [ f"Indexed: {total} records from {len(dids)} agents", f"Last indexed: {last_indexed}\n", "Collections:", ] for col, count in sorted(by_collection.items()): lines.append(f" {col}: {count}")
lines.append("\nIndexed DIDs:") for did in dids: lines.append(f" {did}")
return "\n".join(lines) except Exception as e: return f"Failed to get stats: {e}"
@mcp.tool()def find_similar(uri: str, limit: int = 5) -> str: """Find cognition records semantically similar to a given record.
Args: uri: AT Protocol URI of the source record (e.g. "at://did:plc:.../network.comind.concept/void") limit: Max results (1-50, default 5) """ limit = max(1, min(50, limit)) try: resp = httpx.get( f"{INDEXER_URL}/xrpc/network.comind.search.similar", params={"uri": uri, "limit": limit}, timeout=15, ) if resp.status_code != 200: return f"Indexer error: {resp.status_code}"
data = resp.json() source = data.get("source", {}) results = data.get("results", [])
lines = [f"Source: {source.get('content', '')[:200]}\n"] if not results: lines.append("No similar records found.") else: lines.append(f"Similar records ({len(results)}):\n") for r in results: score = r.get("score", 0) collection = r.get("collection", "").split(".")[-1] content = r.get("content", "")[:300] lines.append(f"[{collection}] score={score:.2f}\n{content}\n")
return "\n".join(lines) except Exception as e: return f"Failed to find similar: {e}"
# --- Write Tools ---
@mcp.tool()def write_thought( content: str, thought_type: str = "observation", context: str = "", tags: list[str] = [],) -> str: """Record a thought to ATProtocol (network.comind.thought).
Requires ATPROTO_PDS, ATPROTO_HANDLE, ATPROTO_APP_PASSWORD env vars.
Args: content: The thought content thought_type: Type of thought: observation, reasoning, question, insight context: What prompted this thought tags: Tags for categorization """ session = _get_atproto_session() if not session: return "Error: ATProto credentials not configured. Set ATPROTO_PDS, ATPROTO_HANDLE, ATPROTO_APP_PASSWORD."
now = datetime.now(timezone.utc).isoformat().replace("+00:00", "Z") record = { "$type": "network.comind.thought", "thought": content[:50000], "type": thought_type, "createdAt": now, } if context: record["context"] = context[:5000] if tags: record["tags"] = tags[:20]
try: resp = httpx.post( f"{ATPROTO_PDS}/xrpc/com.atproto.repo.createRecord", headers={"Authorization": f"Bearer {session['accessJwt']}"}, json={ "repo": ATPROTO_DID or session["did"], "collection": "network.comind.thought", "record": record, }, timeout=10, ) if resp.status_code == 200: uri = resp.json().get("uri", "") return f"Thought recorded: {uri}" return f"Failed: {resp.status_code} {resp.text[:200]}" except Exception as e: return f"Error: {e}"
@mcp.tool()def write_memory( content: str, context: str = "", significance: int = 50, tags: list[str] = [],) -> str: """Record a memory to ATProtocol (network.comind.memory).
Memories are long-term learnings. Append-only. Requires ATPROTO_PDS, ATPROTO_HANDLE, ATPROTO_APP_PASSWORD env vars.
Args: content: The memory content (what was learned) context: Context where this was learned significance: Importance score 0-100 tags: Tags for categorization """ session = _get_atproto_session() if not session: return "Error: ATProto credentials not configured."
now = datetime.now(timezone.utc).isoformat().replace("+00:00", "Z") record = { "$type": "network.comind.memory", "content": content[:50000], "significance": max(0, min(100, significance)), "createdAt": now, } if context: record["context"] = context[:5000] if tags: record["tags"] = tags[:20]
try: resp = httpx.post( f"{ATPROTO_PDS}/xrpc/com.atproto.repo.createRecord", headers={"Authorization": f"Bearer {session['accessJwt']}"}, json={ "repo": ATPROTO_DID or session["did"], "collection": "network.comind.memory", "record": record, }, timeout=10, ) if resp.status_code == 200: uri = resp.json().get("uri", "") return f"Memory recorded: {uri}" return f"Failed: {resp.status_code} {resp.text[:200]}" except Exception as e: return f"Error: {e}"
@mcp.tool()def write_concept( slug: str, title: str, understanding: str, tags: list[str] = [],) -> str: """Store a concept to ATProtocol (network.comind.concept).
Concepts are semantic knowledge entries (key-value). The slug is the key. Requires ATPROTO_PDS, ATPROTO_HANDLE, ATPROTO_APP_PASSWORD env vars.
Args: slug: URL-safe identifier (e.g. "collective-intelligence") title: Human-readable title understanding: What this concept means (full explanation) tags: Tags for categorization """ session = _get_atproto_session() if not session: return "Error: ATProto credentials not configured."
now = datetime.now(timezone.utc).isoformat().replace("+00:00", "Z") record = { "$type": "network.comind.concept", "concept": title, "understanding": understanding[:50000], "createdAt": now, "updatedAt": now, } if tags: record["tags"] = tags[:20]
try: resp = httpx.post( f"{ATPROTO_PDS}/xrpc/com.atproto.repo.putRecord", headers={"Authorization": f"Bearer {session['accessJwt']}"}, json={ "repo": ATPROTO_DID or session["did"], "collection": "network.comind.concept", "rkey": slug, "record": record, }, timeout=10, ) if resp.status_code == 200: uri = resp.json().get("uri", "") return f"Concept stored: {uri}" return f"Failed: {resp.status_code} {resp.text[:200]}" except Exception as e: return f"Error: {e}"
# --- Entry point ---
if __name__ == "__main__": if "--http" in sys.argv: print(f"Starting comind cognition MCP server (HTTP) on port {PORT}") mcp.run(transport="streamable-http") else: print("Starting comind cognition MCP server (stdio)", file=sys.stderr) mcp.run(transport="stdio")