"How to Assess the Security of a Python Application" 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 real-time access to League of Legends esports data including live matches, schedules, leagues, event details, and VODs through a standardized interface.

An MCP Server that provides access to League of Legends statistics via the SportData.io API, allowing agents to query and analyze LoL competitive gaming 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.

Provides read-only access to pre-kick-off football match outcome probabilities and the open record of how those predictions turned out, including match listings, per-match analysis, and aggregate hit rates with baselines. It requires no account or API key and lets users query results by date, week, language, and time zone.

Provides read-only access to the Handigraphs Stats API v1, enabling discovery of sports resources and querying of protected sports statistics.

Enables Claude, ChatGPT and other MCP clients to look up members, their memberships and credentials, events and event bookings, and clubs and other organisations in a sports membership platform, and, when writes are enabled, to change the dates of a member's membership.

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.

A unified MCP server that combines The Odds API and SportMonks Football API v3 to provide 28 tools for sports data like odds, scores, fixtures, standings, and predictions, enabling Claude to interact with a wide range of sports information.

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.

A local, read-only stdio MCP server that bridges Codex to the COROS MCP gateway, enabling sport data queries through an allowlisted set of tools while excluding file and write operations.

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.

Provides access to a cited knowledge graph on football's Laws of the Game and major competitions, with tools for search, question answering, and entity exploration, returning claims with sources and confidence.

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

Enables natural-language querying of historical NBA game data from a read-only SQLite database.

Enables natural language querying of football/soccer data via the API-Football service, providing access to leagues, teams, players, fixtures, standings, and statistics.

Enables natural language querying of a football knowledge graph via Neo4j, generating Cypher queries and answers using LLMs, and also provides tools to build the graph from text.

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.