"A server to add framework documentation and use a cursor agent to search it" 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.

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.

MCP server for kicktipp.com that enables AI assistants to view match data, leaderboards, and place bets through natural language.

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.

Real-time sports card pricing, market analysis, arbitrage detection, grading ROI, investment advice, and player stats (NBA/NFL/MLB). 9 tools for AI agents helping collectors and investors.

Enables AI agents to discover live and recent football matches, scores, and fan clips on Vublox. Supports searching by team, league, or keyword and retrieving match summaries.

Self-hosted football social-media agent that drafts posts, generates assets, and requires Telegram approval before publishing, with stateful SQLite storage and async image jobs.

Enables AI agents to search and retrieve detailed information about US golf courses, including course details, tees, climate, and nearby points of interest.

MCP server enabling AI agents to play fantasy football on Solana through Fantopy Arena, with tools for contests, lineups, and payouts.

A Model Context Protocol server that provides comprehensive Formula One racing data, enabling access to event schedules, driver information, telemetry data, race results, and performance analytics through natural language queries.

Provides access to real-time data from the French Basketball Federation (FFBB), including live scores, standings, and competition details. It allows users to search for clubs, matches, and venues using natural language without requiring an API key.

Provides Formula One data and statistics through a Model Context Protocol interface, allowing users to access race calendars, session results, driver statistics, telemetry data, and championship standings.

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.

Provides natural language access to IPL cricket match data, allowing users to query player statistics, team performances, and match results. It utilizes a SQLite backend and Cricsheet data to deliver detailed cricket analytics through the Model Context Protocol.

A Model Context Protocol server for the Sportmonks Football API v3, providing over 150 tools to access football data including fixtures, teams, players, odds, predictions, and more.

Enables chess position analysis, legal move investigation, move comparison, and PGN game reconstruction through MCP tools.

MCP server that enables AI workflows to query on-chain AI Scout agents, leaderboards, and prediction markets on X Layer for the World Cup.

A server for querying surf spot data and searching spots, with tools to list regions, spots, get spot info, find spots by criteria, and get mock forecasts.

MCP server for retrieving World Cup match briefs, fixtures, and event explanations with sourced, plain-language context.

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