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"Connecting to SEC EDGAR MCP using Bedrock Models" matching MCP servers:

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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
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    Tells you when your favourite football teams play and where to watch in Denmark, using data from TheSportsDB.com and built-in Danish broadcast hints.
    4
    MIT
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    Enables MCP clients to discover tournaments, inspect events, entrants, sets, standings, and streams for any game on start.gg using natural language.
    15
    MIT
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    Exposes Fantasy Premier League player price predictions, live league standings, and transfer trend data via MCP tools, using LiveFPL's public endpoints without authentication.
    9
    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
  • A
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    Provides access to KenPom basketball analytics through MCP tools. Enables querying ratings, efficiency, player stats, and more using natural language.
    18
    1
    MIT
  • A
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    Provides soccer match predictions and league statistics using xG data and Poisson distribution models. It enables users to forecast outcomes, analyze team performance, and view league tables across major European football leagues.
    3
    GPL 2.0
  • A
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    A physics-aware inline skating combo generator that models moves as state transitions to ensure sequences are executable and flow naturally. It allows users to generate custom skating routines and browse a catalog of wizard-style tricks.
    3
    1
    MIT
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    Provides access to live NHL game data, player and team statistics, standings, schedules, playoff brackets, and historical comparisons through natural language queries using the official NHL API.
    11
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    Enables LLMs to accurately convert climbing grades across different rating systems using a data-driven approach.
    1
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    Provides comprehensive access to Strava API for marathon training and race analysis, enabling language models to query athlete data, analyze training patterns, track performance metrics, monitor heart rate zones, and detect injury risks.
    1
    MIT
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    Enables reading and scoring Fleaflicker fantasy football leagues, including rosters, standings, matchups, boxscores, draft boards, and stat line scoring using league-specific rules, with no authentication required.
    MIT
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    A Python-based MCP server that extracts football match data from multiple global sources like ESPN and BBC Sport using intelligent web scraping. It enables AI assistants to retrieve scheduled matches, real-time scores, and broadcasting details with advanced filtering for high-profile games.
    MIT
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    MCP server for odds data that provides tools to query consensus odds, fair prices, and outliers, and to safely propose, approve, and publish boosts with audit logging.
    MIT
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    Live CS2 FACEIT data for Claude — query player stats, match history, head-to-head comparisons, recent form, per-map breakdowns, and full match scoreboards for any public FACEIT player using natural language.
    1
    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