"Official Python Documentation" 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.

Turns official pickleball scoring rules into callable tools for LLMs to track live matches accurately.

Provides live NHL data from the official NHL API, enabling users to fetch standings, scores, schedules, and player statistics.

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

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.

Enables querying K League official data (rankings, matches, players) via SQL using natural language, with a pre-built SQLite database.

Provides intelligent access to OPTA football API documentation with automatic authentication, allowing users to query specific endpoint documentation and get answers about soccer match data, events, fixtures, and statistics through natural language.

Searchable football data provider documentation for AI coding agents. Enables agents to look up verified docs on event types, qualifier IDs, coordinate systems, and more across 15 providers.

Exposes the 82-0 Dream NBA lineup game's game modes, roster picks, scenarios, FAQ, and official links to MCP-compatible AI clients.

Provides verified game rules, official links, and FAQ for the 17-0 NFL roster strategy game to MCP-compatible AI clients.

Exposes the canonical 7-0 knowledge surface — game modes, roster picks, and scenarios, FAQ, official links

Provides game rules, roster constraints, FAQ, and official links for the 27-0 NRL fantasy draft game, enabling AI clients to retrieve this knowledge.

Provides read-only access to Make Bracket Online bracket maker features including editor workflows, official links, and FAQ for AI assistants.

Provides access to French Roller Derby rules documentation, enabling search across sections, retrieval of specific rule sections (game parameters, scoring, penalties, officiating), and browsing the complete rulebook.

Provides access to live NHL game data, player and team statistics, standings, schedules, playoff brackets, and historical comparisons through natural language queries using the official NHL API.

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 Python MCP server providing 11 tools for querying KenPom basketball analytics, including efficiency ratings, game predictions, four factors, and more through Claude.

Enables interaction with Fantasy Premier League data through natural language queries. Supports retrieving fixtures, league standings, player performance, and other FPL statistics via the official FPL API.

A minimal Python MCP server that provides surf forecasts for a single Surfline spot. It fetches both conditions and rating data through the get_surf_forecast tool.