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"Multi MCP (Model Context Protocol) implementation or management" matching MCP servers:

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    MCP server for MaxPreps that reads US high school team schedules, scores, records, rosters, stat leaders, and athlete careers without needing an account or API key.
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    MIT
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    A local MCP server that gives Claude (or any MCP-compatible AI client) access to Formula 1 race data. Load any session from 2018 onwards, ask questions in natural language, and get answers backed by real telemetry, timing, and strategy data.
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    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.
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    MIT
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    A Model Context Protocol server that gives AI assistants real-time access to the MCSR Ranked competitive Minecraft speedrunning API, enabling plain-language queries about players, matches, stats, and more.
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    MIT
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    An MCP server for Fantasy Premier League that allows querying gameweek info, player recommendations, squad management, and executing transfers via FPL's public API with optional cookie authentication.
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    Provides live football data through MCP tools, enabling users to fetch today's matches and top scorers for competitions like the Premier League or World Cup.
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    A lightweight Garmin Model Context Protocol server with 12 curated endpoints for endurance athletes, enabling natural-language queries of activity, training, health, device, and goal data from Garmin Connect.
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    MIT
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    Provides AI assistants with sports model win probabilities and fair odds across nine sports without requiring an API key.
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    MIT
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    An MCP Server implementation that integrates the Balldontlie API, to provide information about players, teams and games for the NBA, NFL and MLB.
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    MIT
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    Live ski & snow data for AI agents: 14-day multi-model forecasts, powder rankings, resort guides, webcams, ski-pass intelligence, and avalanche/road safety across 500+ resorts. Hosted streamable-HTTP — no install, no auth.
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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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    Integrates iRacing with the Model Context Protocol to retrieve profile statistics and iRating charts for any category.
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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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    Enables access to MLB Stats API data including game schedules, results, team information, and player lookups with fuzzy matching support through the Model Context Protocol.
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    MIT