"Using an MCP server to retrieve logs from a terminal for cursor" matching MCP servers:

Enables AI agents to interact with ActiveNet OpenAPI services for managing organizations, activities, customers, facilities, and more.

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.

Tells you when your favourite football teams play and where to watch in Denmark, using data from TheSportsDB.com and built-in Danish broadcast hints.

Enables MCP clients to retrieve esports match results, upcoming matches, matches within a time range, and league/group/Swiss standings from Liquipedia's LPDB v3 API as structured data and English text.

Provides a tool to retrieve today's 2026 FIFA World Cup matches, including teams, time, venue, and scores.

Provides professional cycling data from FirstCycling, allowing users to retrieve comprehensive information about cyclists, race results, historical cycling data, and team information through natural language queries.

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

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

A chess training MCP server that downloads games from Lichess, analyzes moves with Stockfish, detects pattern errors using a compression model, and provides spaced repetition training to improve weaknesses.

Integrates iRacing with the Model Context Protocol to retrieve profile statistics and iRating charts for any category.

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 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.

An MCP server providing access to college football statistics sourced from the College Football Data API within Claude Desktop.

An MCP server that helps an AI agent run a Sleeper fantasy football team from draft night through the championship. It syncs league data, imports FantasyPros rankings, and recommends draft picks, lineups, waivers, and trades.

Enables AI agents and terminal users to search players and tournaments, read tournament pages as structured data, and retrieve Austrian championship leagues without login. Also supports checking and, after confirmation, entering team match reports against club rosters and the public results site.

Enables querying MLB history back to 1871 — year-by-year career batting and pitching lines, team-season records, per-game box scores, and season leaderboards — from Retrosheet game logs and the SABR Lahman Baseball Database. Also exposes coverage dates and refuses unrecognized queries with clear errors rather than empty results.

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.

A Modular Command-line Program for fetching and filtering NFL transaction data, including player movements, injuries, disciplinary actions, and more from ProSportsTransactions.com.