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Tracker MCP Server

Enables LLM clients to interact with a local tracker-server for checking schedule, retrieving statistics, registering tasks, and managing timers.

glama
Updated
Apr 26, 2026

Tracker MCP Server

This is an MCP (Model Context Protocol) server designed to connect to your local tracker-server. It exposes endpoints like checking today's schedule, retrieving statistics, registering tasks, and managing timers directly to LLM clients (like Claude Desktop or Cursor).

Prerequisites

  • A running instance of tracker-server (usually on http://localhost:3000).
  • Python 3.11+ (if running locally) or Docker.

🚀 Running via Docker (Recommended)

When you deploy your MCP agent, you can hook it directly to the Docker image provided from the GitHub Container Registry.

Because tracker-server is running on your host machine locally, Docker needs to know how to reach it. The image defaults to http://host.docker.internal:3000 assuming you are on Mac/Windows or using Docker Desktop.

For Claude Desktop configuration (claude_desktop_config.json):

{
  "mcpServers": {
    "tracker-mcp": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "TRACKER_API_URL=http://host.docker.internal:3000",
        "ghcr.io/makegorka/tracker-mcp:latest"
      ]
    }
  }
}

Note: Notice the -i flag. Because MCP communicates over stdin/stdout (stdio), you must run the docker container interactively, but without a TTY (-t).


🛠 Running Locally

If you are developing or simply prefer to run from source instead of Docker.

  1. Setup the Virtual Environment:

    cd tracker-mcp
    python -m venv venv
    source venv/bin/activate
    pip install -r requirements.txt
    
  2. Run the MCP Server manually:

    # Make sure your tracker server is running!
    python server.py
    

    Note: This will just block your terminal waiting for stdio MCP JSON RPC commands. This is expected.

  3. Configure Claude Desktop (Local Mode):

    {
      "mcpServers": {
        "tracker-mcp": {
          "command": "/absolute/path/to/tracker-mcp/venv/bin/python",
          "args": [
            "/absolute/path/to/tracker-mcp/server.py"
          ],
          "env": {
            "TRACKER_API_URL": "http://localhost:3000"
          }
        }
      }
    }
    

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