"A tool or method for monitoring a directory site to identify SEO opportunities" 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.

Standalone Model Context Protocol server for PropProfessor, plus a small query CLI for local analysis.

MCP server for RapidOddsAPI that provides bookmaker odds, live scores, arbitrage and value bets to AI assistants. It supports querying sports, odds, results, and betting opportunities with credit-based usage.

Provides access to the r.ttw.ru table tennis rating site, enabling searches for players, matches, head-to-head encounters, and tournaments via MCP tools.

Provides AI assistants with real-time prediction market consensus data, including probabilities, opportunities, signals, and settlements.

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.

Enables AI agents to query live sports betting data including odds, edges, arbitrage opportunities, player/team stats, and reference data using the SportWizzard API.

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

Connects AI assistants to SharpEdge AI to discover +EV sports betting opportunities and arbitrage edges across major sportsbooks. It provides real-time scanner statistics, sample betting edges, and educational content on advanced betting concepts like the Kelly Criterion.

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

Provides AI agents with live, grounded sports data including model probabilities, track records, and European soccer and tennis arbitrage opportunities, so they answer from real numbers instead of stale guesses.

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.

Provides access to official MLB statistics via a keyless API, enabling AI agents to query MLB data through natural language or direct tools.

Enables AI agents to query real-time and historical Formula 1 data, including Grand Prix meetings, sessions (races, qualifying, practice), drivers, and lap times or telemetry, with support for filtering by year, country, session, and driver. Can be used via the Pipeworx gateway or as a local stdio server.

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 Claude or any MCP client to read a Fantrax fantasy hockey league and the NHL schedule, including matchups, standings, rosters, free agents, lineup capacity, and goalie minimums. It is read-only and never makes roster moves, claims, trades, or lineup changes.

ESPN MCP — keyless multi-sport live scores, teams, and news via ESPN's public site API.

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.

Enables AI agents to query sports data including teams, players, events, and standings from TheSportsDB through natural language or direct tool calls.

Enables analysis of GeoGuessr game statistics, performance tracking, and strategy recommendations with automatic API monitoring and multi-user support. Features dynamic schema adaptation to handle GeoGuessr API changes automatically.