"Information or resources related to Python" matching MCP servers:

This project implements a Model Context Protocol (MCP) server providing Formula One racing data using the Python FastF1 library. Inspired by an existing TypeScript server, it offers similar F1 data functionalities natively in Python via FastF1.

Provides access to live NHL game data, team and player statistics, standings, schedules, playoff information, and head-to-head comparisons through natural language queries using official NHL APIs.

Provides professional cycling data from FirstCycling, allowing users to retrieve comprehensive information about cyclists, race results, historical cycling data, and team information through natural language queries.

Python MCP server that provides comprehensive access to MLB statistics and baseball data through a FastAPI-based interface. Acts as a bridge between AI applications and MLB data sources, enabling seamless integration of baseball statistics, game information, player data, and more.

Provides comprehensive Formula 1 data access including race schedules, session results, lap times, telemetry data, driver/constructor standings, and circuit information. Enables users to retrieve and analyze F1 racing data through natural language queries using the FastF1 Python package.

A Model Context Protocol server that provides access to Fantasy Premier League data, allowing users to compare players, find team information, view gameweek data, and get FPL-related advice through Claude for Desktop and other MCP-compatible clients.

Provides access to Chess.com player data, game records, and public information through standardized MCP interfaces, allowing AI assistants to search and analyze chess information.

Enables fetching football fixtures, match details, league tables, and squad information from the matchday app through natural language.

Provides access to the Intervals.icu API for interacting with training data, activities, events, and wellness information.

Enables fetching sportsbook odds, live scores, and event information across 70+ books and 30+ leagues, with tools to list sports, get scores, and discover events.

Answers lineup, trade, waiver, and playoff-odds questions by running deterministic Python analysis and returning conclusions, not raw data.

Wraps CricAPI to provide live cricket data, enabling AI agents to query cricket information through natural language or direct tool calls.

Enables querying NBA player information, team rosters, and game scores for seasons through the BallDontLie API.

Provides tools and resources to interact with the Fantasy Premier League API, enabling player analysis, fixture insights, and team management through natural language.

An open-source MCP server that connects to the SoccerDataAPI to deliver up-to-date football match information via natural language interactions.

Enables interaction with the wger Workout Manager database to retrieve exercises, muscles, and equipment information.

MCP server for Fantrax fantasy baseball that provides tools to read league info, rosters, standings, free agents, and related data.

Connects Claude to Cartola FC, enabling queries about matches, player scores, and market information through natural language.

This Model Context Protocol server provides access to the Sleeper Fantasy Football API, enabling agents to fetch data about users, leagues, drafts, rosters, matchups, and player information without requiring an API key.

Read-only MCP server that provides access to public Sleeper NFL fantasy data, including leagues, rosters, matchups, waivers, drafts, and player information. It enables AI clients to retrieve fantasy football details without requiring authentication or account modifications.