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"A server for filesystem operations using MCP protocol" matching MCP servers:

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    Provides access to real-time data from the French Basketball Federation (FFBB), including live scores, standings, and competition details. It allows users to search for clubs, matches, and venues using natural language without requiring an API key.
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    Apache 2.0
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    An MCP server for fetching cricket data from Cricbuzz, including player statistics, live match scores, upcoming schedules, and the latest news.
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    MIT
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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.
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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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    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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    MIT
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    An MCP server providing access to college football statistics sourced from the College Football Data API within Claude Desktop.
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    MIT
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    A unified MCP server that combines The Odds API and SportMonks Football API v3 to provide 28 tools for sports data like odds, scores, fixtures, standings, and predictions, enabling Claude to interact with a wide range of sports information.
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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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    Enables AI assistants to access real-time iRacing telemetry, race information, camera control, pit operations, and replay features through the MCP protocol.
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    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.
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    MIT
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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.
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    MIT
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    A server for querying surf spot data and searching spots, with tools to list regions, spots, get spot info, find spots by criteria, and get mock forecasts.
    MIT
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    An auto-generated Multi-Agent Conversation Protocol server that enables interaction with professional golf data through the SportsData.io Golf v2 API.
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    Enables registering predictions and checking pool status for match predictions on the Injective testnet via MCP.