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"Guide to Coding and Implementing Stripe Elements" 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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    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.
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    45
    MIT
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    Provides access to Fantasy NBA Israel League statistics including team rankings, player stats, roster details, and shooting analytics for a specific private fantasy basketball league.
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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.
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    MIT
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    Provides AI agents with access to football match predictions for Premier League and Champions League, including half-time/full-time scores, goal scorers, corner counts, and key player insights.
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    MIT
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    Provides structured access to NHL data including teams, players, standings, schedules, and statistics through the Model-Context Protocol pattern.
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    Enables AI tools to query sports tournaments, leaderboards, predictions, and match stats from the Tulidu Sport platform.
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    MIT
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    Enables AI agents to interact with ActiveNet OpenAPI services for managing organizations, activities, customers, facilities, and more.
    GPL 2.0
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    MCP server that gives AI assistants direct access to RaceHooks motorsport analytics and data, enabling management of webhooks, live sessions, simulations, and account usage.
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    Wraps TheSportsDB API to enable AI agents to query sports data through natural language.
    MIT
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    Enables Claude to access and analyze Suunto sports watch data, allowing users to ask natural-language questions about their workouts, training metrics, and history.
    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.
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    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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    Grades sports bets against thousands of play-by-play simulations, reporting simulated probability, implied probability, and edge.
    MIT
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    Provides read-only access to Sleeper fantasy football leagues, enabling team snapshots, available players, matchups, trade context, and league history through standardized MCP tools.
    MIT
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    Enables interaction with a Token Bowl fantasy football league through the Sleeper API, providing tools for league operations, player data, and chat features.
    6
    MIT
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    Turns official pickleball scoring rules into callable tools for LLMs to track live matches accurately.
    MIT
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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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    Enables AI agents to browse curated sports news feeds, read feed items, and fetch any RSS/Atom/RDF feed with normalization.
    7
    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.
    10
    MIT