"A guide to analyzing and fixing SEO on a webpage" 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.

Connects Claude to Lichess for playing chess games, analyzing positions with Stockfish cloud evaluation, and solving puzzles. Supports real-time gameplay including moves, challenges, draw offers, and accessing user profiles and game history.

Enables querying and analyzing sports activities from Strava and Garmin Connect, including sleep and recovery data.

Enables querying volleyball match, team, and tournament data from VolleyballWorld API through SQL queries on a SQLite database.

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.

MCP server for analyzing running data from Intervals.icu, offering tools for athlete profiles, activity details, fitness trends, and running summaries.

MCP server for managing tennis club member data from local CSV/Excel exports. Provides tools for searching, filtering, and analyzing member information.

Enables analyzing Codeforces activity through local MCP tools, including weekly practice summaries, problem recommendations, user comparisons, weak-topic detection, contest tracking, and rating progress.

An MCP server that enables natural language querying of over 10 million ball-by-ball cricket deliveries stored in a local DuckDB database. It provides 26 tools for analyzing player matchups, situational stats, and historical records across all major cricket formats and tournaments.

Searchable football data provider documentation for AI coding agents. Enables agents to look up verified docs on event types, qualifier IDs, coordinate systems, and more across 15 providers.

Live sports betting player props MCP server covering NBA, MLB, NFL, NHL, NCAA, and soccer. Unified from real sportsbooks into one REST API and a real MCP server (Streamable HTTP). Free tier, no card required.

Enables MCP clients to discover tournaments, inspect events, entrants, sets, standings, and streams for any game on start.gg using natural language.

MCP server that connects Claude or any MCP-capable LLM to your Garmin golf data, enabling natural-language queries on rounds, shots, strokes gained, club distances, course intel, and health-performance correlations from a private local DuckDB cache.

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

Provides access to Fantasy NBA Israel League statistics including team rankings, player stats, roster details, and shooting analytics for a specific private fantasy basketball league.

Enables users to query MLB Statcast, FanGraphs, and Baseball Reference data using natural language through an AI assistant. It provides comprehensive tools for analyzing player performance, pitch-level data, season leaderboards, and team standings.

Enables AI assistants to monitor a Sleeper fantasy football draft in real time by retrieving draft picks, available players, current turn, and roster needs through Sleeper's public keyless API.

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.

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.

Enables AI agents to connect to Fantopy Arena, browse and enter fantasy football contests, build validated lineups, and claim payouts on Solana.