"A server for finding Python project ideas or resources" 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.

Standalone Model Context Protocol server for PropProfessor, plus a small query CLI for local analysis.

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.

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.

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

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.

Enables AI agents to query real-time and historical Formula 1 data, including Grand Prix meetings, sessions (races, qualifying, practice), drivers, and lap times or telemetry, with support for filtering by year, country, session, and driver. Can be used via the Pipeworx gateway or as a local stdio server.

A Python-based MCP server that extracts football match data from multiple global sources like ESPN and BBC Sport using intelligent web scraping. It enables AI assistants to retrieve scheduled matches, real-time scores, and broadcasting details with advanced filtering for high-profile games.

Enables fast real-time web search and access to premium data from trusted sources including news, financial markets, sports, and more. Supports AI agents with live data and curated content from various domains.

MCP server for real-time surf conditions at 5,000+ beaches worldwide. Enables checking surf conditions, finding nearest spots, and listing spots via natural language.

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

Read-only MCP server for reviewing completed public Lichess games, providing tools to fetch a game or list recent completed games with strict safety and cost boundaries.

Enables MCP-capable assistants to perform post-match Valorant analysis by inspecting stats, reviewing rounds and deaths, rendering tactical maps, and finding community lineups from a Riot ID or match link.

An MCP server that provides real-time surf intelligence, including wave quality scoring, beach discovery, session planning, and forecast analysis across 12+ global data sources. It turns AI assistants into surf-savvy copilots for finding the perfect wave.

Provides surf forecast data including swell height, period, direction, and wind conditions for any location worldwide using the Open-Meteo Marine API. It also includes tools to find the best day to surf and integrates with MCP clients via a Python server.

MCP server for RapidOddsAPI that provides bookmaker odds, live scores, arbitrage and value bets to AI assistants. It supports querying sports, odds, results, and betting opportunities with credit-based usage.

Provides access to the Statbotics API for FIRST Robotics Competition statistical data and predictions. Enables AI assistants and other MCP clients to retrieve FRC team EPA ratings, event predictions, and match analytics.

Enables querying table tennis ratings, players, tournaments, and halls from rttf.ru, with respect for robots.txt restrictions.

Enables AI assistants to read a Comunio fantasy football league's squad, market, offers, standings, and transfers, and to act on the user's behalf by bidding, selling, and setting the lineup.

Analyzes your Trackman golf data to diagnose weaknesses and generate personalized practice plans with drills and progress tracking, acting as a data-driven coach.