MLB Stats

MCP server for advanced baseball analytics (statcast, fangraphs, baseball reference, mlb stats API) with client demo

python

GitHub Stars

python

Language

6 months ago

First Indexed

2 months ago

Catalog Refreshed

Documentation & install

Readme and setup notes from the catalogue, plus a client-ready config you can copy for your MCP host.

Installation

Add the following to your MCP client configuration file.

Configuration

View docs

{
  "mcpServers": {
    "etweisberg-mlb-mcp": {
      "command": "{PATH_TO_UV}",
      "args": [
        "--directory",
        "{PROJECT_DIRECTORY}",
        "run",
        "python",
        "-m",
        "mlb_stats_mcp.server"
      ],
      "env": {
        "ANTHROPIC_API_KEY": "YOUR_API_KEY",
        "MLB_STATS_LOG_FILE": "{LOG_FILE_PATH}",
        "MLB_STATS_LOG_LEVEL": "DEBUG"
      }
    }
  }
}

You run MLB Stats MCP Server to expose MLB statistics data through a structured MCP API, making MLB Stats API and pybaseball data available to MCP-compatible clients for easy querying of statcast, Fangraphs, and Baseball Reference statistics.

How to use

Operate the MLB Stats MCP Server as a local service that you connect to from an MCP client. You can start the server from your terminal, then configure your client to point at the local MCP endpoint. The server handles authentication via environment variables and logs activity to a configurable destination.

How to install

Prerequisites you need before installation are Python tooling and a local package manager to install the server in editable mode. You will also need a Python environment to run the MCP server module.

Install the uv tool, create a virtual environment, and install the project in editable mode.

curl -LsSf https://astral.sh/uv/install.sh | sh

	.venv\Scripts\activate

Additional configuration and start

To run the MLB Stats MCP Server from Claude Desktop, you can use the integration configuration that launches the MCP server via UV and executes the Python module responsible for the server.

"mcp-baseball-stats": {
  "command": "{PATH_TO_UV}",
  "args": [
    "--directory",
    "{PROJECT_DIRECTORY}",
    "run",
    "python",
    "-m",
    "mlb_stats_mcp.server"
  ],
  "env": {
    "MLB_STATS_LOG_FILE": "{LOG_FILE_PATH}",
    "MLB_STATS_LOG_LEVEL": "DEBUG"
  }
}

Notes on environment and logging

Configure runtime behavior and logging through environment variables. You can enable verbose MCP server logs by setting the log level and directing logs to a file or stdout.

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