The Conductor Graph MCP Server exposes a CognOS agent system as a machine-readable JSON graph, allowing for immediate full system snapshots via a single tool call.
From the registry: Exposes a CognOS agent system as a machine-readable graph. Full system snapshot with one tool call.

Please install the `conductor-graph-mcp` MCP server into my current AI client (that's you).
Canonical MCP server config (stdio transport):
- command: `uvx`
- args: ["conductor-graph-mcp"]
- optional environment variables:
- `COGNOS_BASE_URL`: TrustPlane gateway URL. (example: `http://127.0.0.1:8788`)
- `COGNOS_API_KEY`: API key for gateway auth. (example: `<your-cognos-api-key>`)
Note: Alternatively: pip install conductor-graph-mcp, then command python3 -m conductor_graph_mcp.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.COGNOS_BASE_URLrequiredTrustPlane gateway URLCOGNOS_API_KEYrequiredAPI key for gateway authAI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Persistent codebase knowledge graph. Survives session restarts and context compaction.
A powerful toolkit for coding, providing semantic retrieval and editing capabilities.