AgentIndex icon
AgentIndex
mlb-mcp logo
mlb-mcp
★ 34
vs
fastapi_mcp logo
fastapi_mcp
★ 12.0k

mlb-mcp vs fastapi_mcp

mlb-mcp: This project implements a Model Context Protocol (MCP) server for accessing MLB statistics via the MLB Stats API and pybaseball library. It provides structured tools for statcast, fangraphs, baseball reference data, and includes plotting capabilities. Designed for integration with MCP-compatible clients like Claude Desktop.; fastapi_mcp: FastAPI-MCP allows you to expose your existing FastAPI endpoints as Model Context Protocol (MCP) tools. It offers native integration with FastAPI, including built-in authentication using existing dependencies, and preserves schemas and documentation.

01

TL;DR

mlb-mcp logo
mlb-mcpDev Tooling · ★ 34

Integrate live baseball stats into AI assistants like Claude Desktop

Read mlb-mcp full review →
fastapi_mcp logo
fastapi_mcpDev Tooling · ★ 12.0k
When to choose:
  • You already have a FastAPI application and want to expose its endpoints as MCP tools while reusing your existing FastAPI authentication dependencies and Swagger schemas.
  • You want to mount the MCP server directly onto your ASGI app or deploy it separately under an MIT license.
When to skip:
  • You are building a standalone MCP server from scratch rather than wrapping a FastAPI app; use FastMCP or the official MCP Python SDK.
  • You need an actively updated repository (last push was November 2025).
Read fastapi_mcp full review →
02

Side-by-Side Comparison

Field
mlb-mcp logomlb-mcp
fastapi_mcp logofastapi_mcp
Category
Dev Tooling
Dev Tooling
Stars
★ 34
★ 12.0k
License
—
MIT
Install Command
uv venv && source .venv/bin/activate && uv pip install -e .
uv add fastapi-mcp
Updated
1mo ago
11mo ago
Open Source
Yes
Yes
Website
↗ Visit
↗ Visit
GitHub
↗ GitHub
↗ GitHub
Tags
baseball-analytics, baseball-data, baseball-statistics
FastAPI, MCP, Python
03

Features

mlb-mcp logomlb-mcp
01Access MLB Stats API for live player and team data
02Query Statcast data for advanced metrics
03Generate matplotlib plots (base64 encoded) from pybaseball
04Retrieve fangraphs and baseball reference statistics
05Configurable logging and easy deployment via uv
fastapi_mcp logofastapi_mcp
01Authentication built in, using your existing FastAPI dependencies!
02FastAPI-native: Not just another OpenAPI -> MCP converter
03Zero/Minimal configuration required
04Preserving schemas of your request models and response models
05Flexible deployment - Mount your MCP server to the same app, or deploy separately
04

Use Cases

mlb-mcp logomlb-mcp
↳Integrate live baseball stats into AI assistants like Claude Desktop
↳Analyze player performance using Statcast and advanced metrics
↳Create automated visual reports of baseball data
fastapi_mcp logofastapi_mcp
↳Integrating FastAPI services as tools for large language models (LLMs) that support MCP.
↳Enabling LLMs to interact with and utilize existing business logic and data exposed via FastAPI.
↳Quickly exposing authenticated FastAPI APIs as discoverable and usable tools within an MCP ecosystem.
05

Best For

mlb-mcp logomlb-mcp
—
fastapi_mcp logofastapi_mcp
Most PopularEssential
FAQ

FAQ

What is the difference between mlb-mcp and fastapi_mcp?
Both mlb-mcp and fastapi_mcp are in the Dev Tooling category. mlb-mcp has 34 stars, while fastapi_mcp has 12.0k stars.
Which is better, mlb-mcp or fastapi_mcp?
The best choice depends on your use case. Choose mlb-mcp if Integrate live baseball stats into AI assistants like Claude Desktop, and fastapi_mcp if Integrating FastAPI services as tools for large language models (LLMs) that support MCP..
Is mlb-mcp free or open source?
Yes, mlb-mcp is open source on GitHub.
Is fastapi_mcp free or open source?
Yes, fastapi_mcp is open source on GitHub (MIT).
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