MCP Mlb Statsapi MCP Server

This project provides an MCP (Model Context Protocol) that acts as a wrapper for the MLB Stats API. It allows you to easily access and process

Local serverstdioPython

What is the MCP Mlb Statsapi MCP server?

MCP Mlb Statsapi MCP server exists for a simple reason — assistants are far more useful when they can act on MCP Mlb Statsapi directly instead of describing what you should do. This project provides an MCP (Model Context Protocol) that acts as a wrapper for the MLB Stats API. It allows you to easily access and process various MLB data points, including schedules, game results, and team information. This server is.

What you get

  • Game Schedules: — Retrieve MLB game schedules for specified date ranges, optionally filtering by team
  • Game Results: — Fetch daily game results, including scores, winning/losing teams, and winning pitcher
  • Team Results: — Get detailed results for a specific team's most recent game, including scoring plays and highlights
  • Player Lookup: — Look up player IDs using last name, first name, or a combination of both. Supports fuzzy matching

Setting it up

The server ships on PyPI as mcp_mlb_statsapi, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.

What the assistant can call

Once MCP Mlb Statsapi is connected, these are the calls the assistant has available:

  • Prerequisites — The Prerequisites tool exposed by this server

Configuration and credentials

You will need 3 environment variables: YOUR_PYTHON_EXECUTABLE_PATH, YOUR_UV_EXECUTABLE_PATH, YOUR_PROJECT_PATH. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.

  • Python 3.10 or newer - uv package manager: If you're on Mac, please install uv as On Windows Otherwise installation instructions are on their website: Install uv

Before you rely on it

  • It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
  • MCP clients confirm each tool call by default. Leave that on until you have watched what the mcp mlb statsapi mcp server does with a few real requests.

Choosing this one

This sits in the team communication group, where several servers overlap in what they claim to do but differ sharply once you actually set them up. MCP Mlb Statsapi's toolset — Prerequisites — is a fair guide to whether it matches your workflow. It is maintained by mpizza; worth a glance at recent repository activity before you build anything load-bearing on it.

This entry was verified against MCP Mlb Statsapi's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.

Available tools

ToolWhat it does
PrerequisitesThe Prerequisites tool exposed by this server.

How to install the MCP Mlb Statsapi MCP server

If you install it via source code
```json
{
  "mcpServers": {
    "mcp_mlb_statsapi": {
        "command": "{YOUR_UV_EXECUTABLE_PATH}/uv",
        "args": [
            "--directory",
            "{YOUR_PROJECT_PATH}/src/mcp_mlb_statsapi",
            "run",
            "mcp_mlb_statsapi"
        ]
    }
  }
}

Configuration as documented by the project. Restart the client after saving.

Configuration

  • Python 3.10 or newer - uv package manager: If you're on Mac, please install uv as On Windows Otherwise installation instructions are on their website: Install uv
VariableDescriptionRequired
YOUR_PYTHON_EXECUTABLE_PATHFilesystem location the server is allowed to use.Optional
YOUR_UV_EXECUTABLE_PATHFilesystem location the server is allowed to use.Optional
YOUR_PROJECT_PATHFilesystem location the server is allowed to use.Optional

Example prompts to try

  • Use MCP Mlb Statsapi to Prerequisites.

Frequently asked questions

It connects MCP Mlb Statsapi to MCP-compatible AI assistants such as Claude and Cursor, exposing 1 tool (Prerequisites) that the assistant can call on your behalf. Instead of copying data back and forth by hand, the assistant works with MCP Mlb Statsapi directly.