"A guide to developing video games" matching MCP servers:

Provides deterministic surf-window recommendations and explanations based on stored decisions, enabling safe surf planning through tool-backed evidence.

Manages sports video metadata with CRUD operations for game information, teams, scores, and statistics. Enables advanced search filtering by game type, teams, league, season, and date ranges through PostgreSQL integration.

Enables management of sports video metadata with PostgreSQL backend, supporting CRUD operations, advanced search, and tracking of game information including teams, scores, player statistics, and match details.

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.

NHL hockey data MCP server. 12 tools covering games, standings, player stats, goalie stats, odds, line movement, and matchup analysis across 16 seasons.

MCP server that exposes the Lichess public API through tools for querying player profiles, games, analysis, openings, puzzles, and tournaments, allowing natural-language chess questions without an API key.

A stateless, read-only MCP gateway for the public Chess.com API, enabling agents to fetch player profiles, stats, games, and club data without storing credentials.

An MCP Server implementation that integrates the Balldontlie API, to provide information about players, teams and games for the NBA, NFL and MLB.

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.

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.

Enables fetching sports odds from The Odds API and removing bookmaker margin (vig) to compute fair probabilities, with tools for today's MLB games, processed odds, and consensus lines.

Enables querying Chess.com public data including player profiles, stats, games, and club information through natural language.

Connects MCP clients to the public Chess.com Published-Data API so users can ask natural-language questions about a player's monthly results, recent games, current and best ratings, and profile details. All access is read-only and requires no API key or sign-in.

MCP server for Chess.com's API, providing access to player profiles, stats, games, clubs, tournaments, and puzzles. It serializes requests to reduce rate limit errors and includes an unofficial tool for retrieving game data by ID.

Enables AI agents to query public Lichess data including player profiles, games, opening explorer, and tablebase via the Pipeworx MCP gateway.

Enables natural language access to NFL data, including play-by-play with EPA, player and team stats, injuries, depth charts, and closing lines for games since 1999.

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 retrieval of live multi-sport scores, match video highlights, and match predictions via MCP.

Enables querying basketball data including players, games, season averages, and stats from the balldontlie.io API.

Read-only MCP server for reviewing completed public Lichess games, providing tools to fetch a game or list recent completed games with strict safety and cost boundaries.