macp-mcp

An MCP server that lets any MCP client (Claude Desktop, Claude Code, Cursor and others) run or join a MACP Decision session.

The first proof that MACP governs MCP tool use. MCP decides which tools a model can call. MACP decides who may use them and when, and records what was decided. The model drives every step through ordinary MCP tool calls. The MACP runtime enforces who may propose, vote and commit, ends the session in one binding Commitment, and gives that outcome an RFC-MACP-0013 hash that anyone can recompute. examples/decision-via-mcp.md is a recorded run: two MCP clients drive a session to RESOLVED. The runtime refuses the non-initiator's commit call, and the commitment hash verifies.

MCP client (model) ──stdio──▶ macp-mcp ──gRPC──▶ MACP runtime
   tool calls                 one MACP agent     enforces membership, order,
                              (macp-sdk-python)  identity; records the Commitment

Install

pip install macp-mcp        # or: uvx macp-mcp

Python 3.11 or newer. It needs a MACP runtime to talk to. For local development:

docker run -p 50051:50051 -e MACP_ALLOW_INSECURE=1 -e MACP_MEMORY_ONLY=1 \
  ghcr.io/multiagentcoordinationprotocol/macp-runtime:0.9.0

One macp-mcp process is one MACP agent. To have several agents take part in a session, run one server per agent (for example, one per MCP client), each with its own MACP_AGENT_ID.

Related MCP server: fallpharm-mcp

Configure your MCP client

Claude Desktop

Add the server to claude_desktop_config.json (Settings → Developer → Edit Config):

{
  "mcpServers": {
    "macp": {
      "command": "uvx",
      "args": ["macp-mcp"],
      "env": {
        "MACP_RUNTIME_TARGET": "127.0.0.1:50051",
        "MACP_AGENT_ID": "coordinator",
        "MACP_ALLOW_INSECURE": "1"
      }
    }
  }
}

If you installed with pip, use "command": "macp-mcp" and drop args.

Claude Code

claude mcp add macp \
  --env MACP_RUNTIME_TARGET=127.0.0.1:50051 \
  --env MACP_AGENT_ID=coordinator \
  --env MACP_ALLOW_INSECURE=1 \
  -- uvx macp-mcp

Or check it into a project's .mcp.json:

{
  "mcpServers": {
    "macp": {
      "command": "uvx",
      "args": ["macp-mcp"],
      "env": {
        "MACP_RUNTIME_TARGET": "127.0.0.1:50051",
        "MACP_AGENT_ID": "alice",
        "MACP_ALLOW_INSECURE": "1"
      }
    }
  }
}

Then ask the model something like: "Start a MACP decision with alice on which deployment plan to use, propose a canary rollout, and vote for it."

Against a production runtime

Drop MACP_ALLOW_INSECURE and pass the bearer token the runtime issued for this agent:

"env": {
  "MACP_RUNTIME_TARGET": "macp.example.com:443",
  "MACP_AGENT_ID": "coordinator",
  "MACP_AUTH_TOKEN": "<token issued for coordinator>"
}

Environment variables

The server logs to stderr only, because stdout carries the MCP protocol. A bad configuration exits with status 2 and a one-line message.

Tools

The first five are the core loop: start, propose, vote, read the outcome and check it. The other three are the minimum needed to make that loop usable from MCP:

• commit: a Decision session only resolves, and only produces a Commitment for get_commitment and verify to read, when someone commits. Without this tool an MCP client could never finish a session it started.

• get_session: MCP is request/response, and the runtime's GetSession returns metadata only. Without this tool a model joining a session has no way to see what was proposed or how the votes stand. It rebuilds the session view from the runtime's replayable history.

• evaluate: the Decision mode's assessment step. It lets an agent record a reasoned, scored opinion (including a BLOCK) that other participants and later auditors can see, separately from the bare vote.

Objections, cancellation, signals and other modes are deliberately left out. They belong to orchestrators built on macp-sdk-python.

Errors the model can act on, such as a runtime rejection or a bad argument, come back as tool errors with the text "<CODE>: <message>", for example FORBIDDEN: Forbidden when a non-initiator tries to commit. The code is the MACP error code (the Ack failure code, then the macp-error-code trailer, then the gRPC status name).

The server is stateless. Every read replays the session from the runtime, so a restart loses nothing, and several servers (agents) can share one session.

Tool contract

contract/tools.json pins the tool names, descriptions, annotations, input schemas and output schemas. It is fully inlined JSON Schema 2020-12. The TypeScript twin (macp-mcp-typescript) exposes the identical surface and tests against a byte-identical copy of this file. Any change to the tool surface changes the manifest (make contract) and needs the matching change in the TypeScript twin.

Development

make setup                    # pip install -e ".[dev]"
make lint typecheck test      # ruff, mypy strict, unit tests + 85% coverage gate
make verify-contract          # advertised tools == contract/tools.json
make test-integration-docker  # CI's integration gate: pinned runtime image + stdio MCP clients
make transcript               # re-record examples/decision-via-mcp.md (runtime on :50051)

Releases follow macp-sdk-python: release-please opens the release PR, and merging it tags vX.Y.Z, which publishes to PyPI through trusted publishing.

License

Apache-2.0