Conductor Graph MCP Server

mcp-name: io.github.base76-research-lab/conductor-graph-mcp

Conductor-Graph-MCP

An MCP server that exposes a CognOS agent system as a machine-readable JSON graph. The conductor (Claude) calls a single tool and gets an immediate full system snapshot.

Built on the FNC architecture: Field (agents) → Node (processing) → Cockpit (oversight)

Installation

# From PyPI (recommended)
pip install conductor-graph-mcp

# Or from source
git clone https://github.com/base76-research-lab/conductor-graph-mcp
cd conductor-graph-mcp
pip install -e .

Usage with Claude Code

Add to ~/.claude/settings.json under mcpServers:

{
  "mcpServers": {
    "cognos-graph": {
      "command": "python3",
      "args": ["-m", "conductor_graph_mcp"],
      "env": {
        "COGNOS_BASE_URL": "http://127.0.0.1:8788",
        "COGNOS_API_KEY": "your-key"
      }
    }
  }
}

Or with uvx:

{
  "mcpServers": {
    "cognos-graph": {
      "command": "uvx",
      "args": ["conductor-graph-mcp"],
      "env": {
        "COGNOS_BASE_URL": "http://127.0.0.1:8788",
        "COGNOS_API_KEY": "your-key"
      }
    }
  }
}

Restart Claude Code — the server activates automatically.

Note: Requires MCP SDK ≥ 1.0 (mcp on PyPI).

Tools

Known Node IDs

conductor
trustplane-gateway
token-compressor
session-memory
armada-bus
agent-critic
agent-curator
agent-ethics
agent-synth
agent-self
agent-srt
agent-indexer

Examples

get_agent_graph()                        # Full system overview
get_node_status("trustplane-gateway")    # One specific node
get_blocked_nodes()                      # What is broken?
get_edges()                              # Communication flow

Node Status — Data Sources

Environment Variables

Verification

# Test that the server starts
python3 -m conductor_graph_mcp

# Stop the gateway → trustplane-gateway.status = "error"
# get_blocked_nodes() should return trustplane-gateway

# Run a /save → session-memory.metrics.entries increases
# get_node_status("session-memory") shows new count

License

MIT — Base76 Research Lab