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"A guide to performing stock analysis" 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.
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    2
    MIT
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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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    An MCP server that exposes Stockfish chess analysis to LLM chat clients, enabling move analysis, game review, and explanation of engine choices.
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    An MCP server that lets an LLM query a DuckDB warehouse of EuroLeague and EuroCup basketball data in natural language, offering tools for player and team stats, shot charts, boxscores, and fantasy draft analysis without contacting upstream APIs.
    13
    MIT
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    NHL hockey data MCP server. 12 tools covering games, standings, player stats, goalie stats, odds, line movement, and matchup analysis across 16 seasons.
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    MIT
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    Provides a tool to retrieve today's 2026 FIFA World Cup matches, including teams, time, venue, and scores.
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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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    Minimalist Strava integration for Claude with 7 focused tools for querying athlete stats, activities, zones, and segment analysis.
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    MIT
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    MCP server that exposes the Lichess public API through tools for querying player profiles, games, analysis, openings, puzzles, and tournaments, allowing natural-language chess questions without an API key.
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    MIT
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    Enables AI assistants to analyze Fantasy Premier League data, providing tools for player search, fixture analysis, manager comparisons, and strategy prompts for transfer planning and lineup selection.
    19
    MIT
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    Real-time sports card pricing, market analysis, arbitrage detection, grading ROI, investment advice, and player stats (NBA/NFL/MLB). 9 tools for AI agents helping collectors and investors.
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    MIT
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    Real-time tennis data for ATP, WTA, Challenger and ITF: live scores, player rankings, match-winner odds, and model win-probability. 12 read-only tools; a tier-gated endpoint returns a plain-English explanation of which plan it needs rather than a bare 403. Requires a paid API key.
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    MIT
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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
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    MIT
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    Enables natural language interaction with Sleeper Fantasy Football API data, allowing queries about leagues, players, matchups, draft results, and trade analysis.
    13
    13
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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.
    8
    1
    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.
    8
    11
    MIT