"Information or resources related to scrap materials or processes" 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.

Analyzes chess positions via Stockfish, returning best moves and evaluations from FEN or PGN input.

Enables AI assistants to query MyFantasyLeague rosters, standings, trades, free agents, and draft picks across private, dynasty, and IDP leagues in read-only mode. It supports multiple leagues and current or previous seasons without making changes in MFL.

Provides live football data through MCP tools, enabling users to fetch today's matches and top scorers for competitions like the Premier League or World Cup.

Provides professional cycling data from FirstCycling, allowing users to retrieve comprehensive information about cyclists, race results, historical cycling data, and team information through natural language queries.

Enables AI agents to discover live and recent football matches, scores, and fan clips on Vublox. Supports searching by team, league, or keyword and retrieving match summaries.

A Model Context Protocol server that provides access to Fantasy Premier League data, allowing users to compare players, find team information, view gameweek data, and get FPL-related advice through Claude for Desktop and other MCP-compatible clients.

Provides access to Chess.com player data, game records, and public information through standardized MCP interfaces, allowing AI assistants to search and analyze chess information.

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

Enables fetching football fixtures, match details, league tables, and squad information from the matchday app through natural language.

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 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.

Enables users to ask ChatGPT or Claude where a runner or cyclist is in a live race, how the race is going, and what the weather along the course will be, returning live maps and 3D route flyovers inline in the chat. Also surfaces cycling tour day-by-day routes, GPX links and organiser notes, all read-only and free.

Provides access to the Intervals.icu API for interacting with training data, activities, events, and wellness information.

Enables fetching sportsbook odds, live scores, and event information across 70+ books and 30+ leagues, with tools to list sports, get scores, and discover events.

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

CLI and MCP server for EdgeFinder sports analysis. Get AI-powered NFL, NBA, and MLB betting recommendations, player stats, odds, schedules, and Polymarket portfolio tracking from your terminal or AI agent.

Enables AI clients to perform opponent scouting, retrieve athlete box scores, diagnose P1–P6 rotation sideout issues, audit serve-receive, and export event-level touches to DataVolley (.dvw) or pandas.

Enables interaction with Formula 1 data through LLM interfaces like Claude. Provides access to F1 information including circuits, constructors, drivers, grand prix, manufacturers, races, and seasons.

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.