"How to export LLM chat history from multiple domains" matching MCP servers:

MCP chess runtime that lets LLMs play, analyze, and adapt strength by exposing Stockfish, human move likelihood (Maia3), and Lichess statistics, with the LLM handling strategy and the server handling computation.

Every FIFA World Cup since 1930 wrapped as 15 MCP tools — squads, brackets, stadiums, matches, awards, trivia. Powered by the Zafronix WC API.

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.

MCP server that gives Claude programmatic access to a local En Croissant chess opening trainer, enabling conversational opening prep by reading its SQLite database, PGN files, and Lichess API. It supports repertoire review, due cards, and opponent statistics directly from chat.

Enables chat to query cycling training data from Intervals, including athlete profiles, activities, wellness, and calendar events, via read-only tools.

Connects Claude to your Strava fitness data, enabling natural language queries about your training history such as activities, stats, and routes.

Provides AI-powered sports analytics for Daily Fantasy Sports (DFS) with real-time player projections, lineup optimization, live odds aggregation from multiple sportsbooks, and SHAP-based explainability to understand recommendation reasoning.

Enables LLM-powered race engineers to compute Formula 1 pit-stop strategies from real session data, including tire degradation modeling, optimal pit windows, undercut/overcut simulation, and finish-position projection.

Enables AI assistants to query workouts, activity history, training load, VO2Max progression, recovery metrics, and social feeds from Sports Tracker.

An MCP server that exposes sports-data APIs from multiple providers (AFL, Sportsbet, Entain, NRL) as interchangeable tools, enabling cross-provider odds and stats comparison.

Enables AI agents to access Sleeper fantasy football league data, rosters, matchups, projections, waivers, trends, and league chat, with read-only safety and optional authorized chat posting.

Provides read-only access to Sleeper fantasy football leagues, enabling team snapshots, available players, matchups, trade context, and league history through standardized MCP tools.

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.

Live CS2 FACEIT data for Claude — query player stats, match history, head-to-head comparisons, recent form, per-map breakdowns, and full match scoreboards for any public FACEIT player using natural language.

Enables Claude to access and analyze Suunto sports watch data, allowing users to ask natural-language questions about their workouts, training metrics, and history.

Exposes Zwift training history stored in a local SQLite database to MCP clients and a REST API, enabling queries for activities, power curves, race results, and training load.

MCP server providing tools to query live scores, schedules, standings, and game stats from the SportRadar API for multiple sports including NFL, NBA, NHL, NCAAMB, soccer, and tennis.

Enables querying Liga MX football data, including team form, head-to-head history, and current tournament standings, through MCP tools.

An MCP server that exposes Stockfish chess analysis to LLM chat clients, enabling move analysis, game review, and explanation of engine choices.