"Using Python Package Documentation for Writing Latest Code with Code Generation" matching MCP servers:

Enables AI assistants to query the latest F1 news from the official F1 website in real-time, with pagination support and automatic Chinese translation.

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.

Enables MCP clients to fetch live football odds and team form, and flag matches where the market price diverges from a simple form-based estimate.

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.

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.

An MCP server for fetching cricket data from Cricbuzz, including player statistics, live match scores, upcoming schedules, and the latest news.

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.

Retrieves and displays the latest horse racing news stories from Thoroughbred Daily News RSS feed, including titles, content, and links.

Enables natural language queries and analysis of Japanese horse racing data from JRA-VAN without writing SQL. Supports analyzing race results, jockey performance, breeding trends, and track conditions through conversation with Claude.

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.

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

Bridges local stdio MCP clients like Codex and OpenCode to Strava's official MCP endpoint, enabling Strava data access via imported OAuth credentials from Claude Code without a developer app.

Exposes court-availability data as a read-only panel rendered in MCP hosts (Claude Desktop, VS Code, test host) via a UI resource.

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.

Interprets advanced hockey player cards to translate metrics into plain-language assessments, supporting player evaluation, claim verification, and player comparisons with deterministic rules.