"Firecrawl MCP (Model Context Protocol) Integration" matching MCP servers:

Fantasy Premier League stats and press coverage for AI agents: read-only SQL over FPL player, fixture and gameweek data, plus semantic search over BBC Sport and Guardian articles and FPL injury news. Bring your own PostgreSQL and Pinecone, with bundled ingestion jobs.

Enables AI agents to safely interact with golf course operations by providing real-time inventory, booking rules, pricing policies, and a self-learning memory system.

MCP server for FIFA World Cup 2026 data including fixtures, live scores, odds, and knockout bracket, plus a tool (wc_edge) that autonomously pays for premium data via Injective's x402 protocol.

MCP server providing Nordic harness racing data (Swedish, Norwegian, Danish, Finnish) with upcoming races, startlists, betting pool percentages, and model-derived win probabilities for AI agents.

A Model Context Protocol server for TrainingPeaks with an analytics focus — enabling real-time querying of training data, performance trends, CTL/ATL/TSB analysis, and training load optimization through Claude Desktop.

Minimalist Strava integration for Claude with 7 focused tools for querying athlete stats, activities, zones, and segment analysis.

A Model Context Protocol server that gives AI assistants real-time access to the MCSR Ranked competitive Minecraft speedrunning API, enabling plain-language queries about players, matches, stats, and more.

A read-only MCP server that supplies live context from Sleeper fantasy-football leagues, including rosters, trade analysis, draft picks, and league settings via Sleeper's public API.

Real-time tennis data for ATP, WTA, Challenger and ITF: live scores, player rankings, match-winner odds, and model win-probability. 12 read-only tools; a tier-gated endpoint returns a plain-English explanation of which plan it needs rather than a bare 403. Requires a paid API key.

A lightweight Garmin Model Context Protocol server with 12 curated endpoints for endurance athletes, enabling natural-language queries of activity, training, health, device, and goal data from Garmin Connect.

Enables AI agents to query live sports betting odds, best prices, arbitrage, +EV bets, and middles directly through Model Context Protocol tools.

Provides AI assistants with live football data for 90+ leagues including tables, results, fixtures, model probabilities, and Monte Carlo season projections from football-charts.com.

Provides AI assistants with sports model win probabilities and fair odds across nine sports without requiring an API key.

Enables querying probable football lineups with per-player start probability and expected fantasy points, match analysis, model picks, and a verified public track record across major European leagues through MCP tools.

MCP server for the FootballStack football data API. Gives LLM clients and AI agents (Claude, Cursor) access to real football data — fixtures, standings, lineups, live events, shot-level xG with pitch coordinates, and model-derived fair odds.

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.

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.

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

Enables access to MLB Stats API data including game schedules, results, team information, and player lookups with fuzzy matching support through the Model Context Protocol.

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.