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"Using Logseq data as context for chat applications" matching MCP servers:

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    An MCP server that lets an LLM query a DuckDB warehouse of EuroLeague and EuroCup basketball data in natural language, offering tools for player and team stats, shot charts, boxscores, and fantasy draft analysis without contacting upstream APIs.
    13
    MIT
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    Provides seamless access to iRacing's racing simulation data, enabling AI assistants to retrieve driver profiles, career statistics, and team information. It features automatic authentication and tools for real-time driver lookups and season performance analysis.
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    MIT
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    Access football (soccer) data including competitions, matches, standings, and team details via the Football-Data.org API.
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    MIT
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    Provides football analytics tools including player scouting, comparisons, market-value filters, expected-goals tables, match-by-match form, team attacking profiles, match search, shot maps, and more for 10 leagues.
    6
    GPL 3.0
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    Enables AI agents to access comprehensive sports data including football, basketball, American football, and hockey leagues via 11 tools, with no API key required.
    MIT
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    Provides read-only access to sports data, odds intelligence, and historical stats via 10 MCP tools, with fast response times through Redis caching.
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    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.
    10
    MIT
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    An open-source MCP server that connects to the SoccerDataAPI to deliver up-to-date football match information via natural language interactions.
    39
    MIT
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    Enables AI agents to query live sports betting data including odds, edges, arbitrage opportunities, player/team stats, and reference data using the SportWizzard API.
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    MIT
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    Connects Claude to your Strava fitness data, enabling natural language queries about your training history such as activities, stats, and routes.
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    A Model Context Protocol server that provides comprehensive Formula One racing data, enabling access to event schedules, driver information, telemetry data, race results, and performance analytics through natural language queries.
    8
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    MIT
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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.
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    2
    MIT
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    Provides Formula One data and statistics through a Model Context Protocol interface, allowing users to access race calendars, session results, driver statistics, telemetry data, and championship standings.
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    11
    MIT
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    Python MCP server that provides comprehensive access to MLB statistics and baseball data through a FastAPI-based interface. Acts as a bridge between AI applications and MLB data sources, enabling seamless integration of baseball statistics, game information, player data, and more.
    24
    57
    MIT
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    Read-only MCP server for the Palloliitto's result service API, enabling AI applications to search and inspect football & futsal data including clubs, teams, matches, competitions, and league tables.
    12
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    A Model Context Protocol server for the Sportmonks Football API v3, providing over 150 tools to access football data including fixtures, teams, players, odds, predictions, and more.
    100
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    Provides structured access to NHL data including teams, players, standings, schedules, and statistics through the Model-Context Protocol pattern.
    25
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    Enables LLMs to accurately convert climbing grades across different rating systems using a data-driven approach.
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    A Model Context Protocol server that provides read-only access to Yahoo Fantasy Sports data, enabling AI assistants to query league standings, player stats, matchups, and rosters.
    2
    MIT