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"Using RAG to Provide Documentation to LLMs" matching MCP servers:

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    MCP server for NFL fantasy football retrieval, providing access to NFL stats and Sleeper league data through retrieval-oriented tools.
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    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.
    8
    2
    MIT
  • F
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    Provides intelligent access to OPTA football API documentation with automatic authentication, allowing users to query specific endpoint documentation and get answers about soccer match data, events, fixtures, and statistics through natural language.
    5
  • A
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    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.
    7
    515
    46
    MIT
  • A
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    Exposes the Camptocamp.org API to LLMs, enabling querying of alpine routes, summit altitudes, and course descriptions with reliable data to avoid hallucinations.
    6
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    MIT
  • A
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    Provides access to French Roller Derby rules documentation, enabling search across sections, retrieval of specific rule sections (game parameters, scoring, penalties, officiating), and browsing the complete rulebook.
    3
    10
    MIT
  • A
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    An MCP Server implementation that integrates the Balldontlie API, to provide information about players, teams and games for the NBA, NFL and MLB.
    4
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    26
    MIT
  • F
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    A unified MCP server that combines The Odds API and SportMonks Football API v3 to provide 28 tools for sports data like odds, scores, fixtures, standings, and predictions, enabling Claude to interact with a wide range of sports information.
    28
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    Enables LLMs to accurately convert climbing grades across different rating systems using a data-driven approach.
    1
  • A
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    Turns official pickleball scoring rules into callable tools for LLMs to track live matches accurately.
    MIT
  • A
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    Connects LLMs to the Fantasy Premier League API for intelligent team management, enabling natural language player research, competitor analysis, transfer decisions, and strategic planning using friendly names instead of IDs.
    2
    MIT
  • A
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    Wraps the Sports Game Odds API to provide sports game odds data through natural language queries.
    14
    1
    MIT
  • A
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    maintenance
    Wraps CricAPI to provide live cricket data, enabling AI agents to query cricket information through natural language or direct tool calls.
    10
    MIT
  • F
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    Provides tools to interact with the Chess.com Public API for fetching real-time player profiles and detailed game statistics. It enables LLMs to access information like player ratings, win/loss records, and current online status.
  • F
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    maintenance
    MCP server that wraps SportsGameOdds and BALLDONTLIE APIs to provide sports scheduling, odds, injuries, and team statistics tools for building TKB Picks threads.
  • F
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    B
    maintenance
    MCP server for a World Cup 2026 prediction game assistant, providing tools for live game data via PostgreSQL and semantic search over football articles via RAG.