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"Redash: Open-source Data Visualization and Query Tool" 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.
    6
    30
    3
    MIT
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    Access football (soccer) data including competitions, matches, standings, and team details via the Football-Data.org API.
    3
    2
    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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    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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    MCP server for FIFA World Cup 2026 data including fixtures, live scores, odds, and knockout bracket, plus a tool (wc_edge) that autonomously pays for premium data via Injective's x402 protocol.
    8
    14
    MIT
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    48 AI-callable tools for FIFA World Cup 2026 football, Formula 1, and IPL cricket — Monte-Carlo bracket simulations, F1 pit-strategy modeling, and a Dream11 ILP optimizer, plus live odds and value-bet detection. Free, open-source, and works with any MCP client via uvx.
    44
    10
    MIT
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    Provides access to Formula 1 data including driver and constructor championship standings with support for current and historical seasons. Enables users to query F1 championship information through natural language with plans for expanded race data and telemetry.
    22
    1
    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.
    20
    153
    MIT
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    Enables Claude to query FACEIT CS2 stats including player profiles, lifetime stats, match history, and detailed per-match statistics via the FACEIT Data API.
    5
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    Provides MCP tools to query Liquipedia esports data (matches, teams, players, tournaments, placements, standings) via the Liquipedia v3 API and MediaWiki action API.
    8
    MIT
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    MCP server for NBA live data and stats, providing read-only tools to query live scores, box scores, player info, standings, and more from NBA.com.
    15
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    1
    MIT
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    Provides natural language access to IPL cricket match data, allowing users to query player statistics, team performances, and match results. It utilizes a SQLite backend and Cricsheet data to deliver detailed cricket analytics through the Model Context Protocol.
    1
  • A
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    Wraps TheSportsDB API to enable AI agents to query sports data through natural language.
    MIT
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    Provides access to official MLB statistics via a keyless API, enabling AI agents to query MLB data through natural language or direct tools.
    6
    MIT
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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
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    Enables AI agents to query public Lichess data including player profiles, games, opening explorer, and tablebase via the Pipeworx MCP gateway.
    9
    MIT
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    An open NFL fantasy-football analytics platform that provides live data, machine-learned projections, dynasty values, and prospect grades via an MCP server for AI clients.
    MIT