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    Fantasy Premier League stats and press coverage for AI agents: read-only SQL over FPL player, fixture and gameweek data, plus semantic search over BBC Sport and Guardian articles and FPL injury news. Bring your own PostgreSQL and Pinecone, with bundled ingestion jobs.
    2
    67 PyPI
    MIT
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    Enables MCP clients to fetch live football odds and team form, and flag matches where the market price diverges from a simple form-based estimate.
    Eclipse Public 2.0
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    Standalone Model Context Protocol server for PropProfessor, plus a small query CLI for local analysis.
    2
    MIT
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    MCP server that brings live Australian racing and sports odds from 12 bookmaker/exchange sources into AI assistants, with per-price age data and tools for next races, best odds, results, and movers.
    9
    MIT
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    Enables Claude to look up Australian sports events and retrieve every bookmaker’s current decimal prices, the best available price, and no-vig fair odds for head-to-head, line, and total markets.
    5
    MIT
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    Enables AI agents to query live sports betting odds, best prices, arbitrage, +EV bets, and middles directly through Model Context Protocol tools.
    8
    MIT
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    Connects MCP clients to the public Chess.com Published-Data API so users can ask natural-language questions about a player's monthly results, recent games, current and best ratings, and profile details. All access is read-only and requires no API key or sign-in.
    4
    MIT
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    A minimal Python MCP server that provides surf forecasts for a single Surfline spot. It fetches both conditions and rating data through the get_surf_forecast tool.
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    Enables LLMs to accurately convert climbing grades across different rating systems using a data-driven approach.
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    Enables AI assistants to query Formula 1 sessions, laps, telemetry, stints, pit stops, positions, weather, race control and championship data from the OpenF1 API (2023 onwards), plus composite tools for race summaries, tyre strategies and multi-driver fastest-lap comparisons. It is read-only, caches and throttles requests, and samples or summarizes oversized results so large telemetry payloads stay manageable for the model.
    78 npm
    MIT
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    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.
    7 npm
    MIT
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    Enables AI agents to query current sports injuries, player projections, and player prop betting markets across the NFL, NBA, MLB, NHL, CFB, and CBB via SportsDataIO's API.
    19 npm
    MIT
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    Enables Claude, Codex, and GitHub Copilot to answer natural-language questions about WHOOP recovery, sleep, HRV, strain, and workouts using read-only access to personal health history, baselines, trends, and sleep debt. Also rebuilds HYROX and triathlon sessions, assesses race readiness, and serves a local performance dashboard.
    4 npm
    MIT
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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.
    11
    MIT
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    Provides comprehensive baseball analytics through 32 tools covering pitching, batting, defensive metrics, and visualizations via the Model Context Protocol, enabling natural language queries for advanced Statcast and MLB statistics.
    MIT
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    Enables an agent to query MMA data—fight schedules, results, per-round stats, rankings history, judges' scorecards, and consensus odds—across UFC and other promotions directly via Model Context Protocol.
    266 npm
    MIT