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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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    Connects Claude to the SportRadar MLB API to access real-time baseball data including game schedules, live scores, player statistics, team standings, injury reports, and play-by-play information through natural language queries.
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    Provides access to comprehensive MLB baseball statistics through the MLB Stats API, pybaseball library, Statcast data, FanGraphs, and Baseball Reference, including support for generating matplotlib visualizations.
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    An MCP server that enables interaction with MLB (Major League Baseball) v3 projections through the SportsData.io API, allowing access to baseball statistics and projections through natural language.
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    A Cloudflare Worker that provides access to MLB Statistics API data through the Model Context Protocol, supporting multiple endpoints like team info, player stats, game schedules, and live game data.
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    An MCP Server that enables interaction with MLB scores and statistics via the SportsData.io MLB V3 Scores API, allowing users to access baseball data through natural language queries.
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    Provides machine learning researchers with tools for creating publication-quality scientific visualizations, statistical plots, and 2D data representations. It streamlines the research workflow by enabling AI assistants to generate complex figures from CSV, JSON, or direct data inputs.
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    MIT
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    Enables users to query MLB Statcast, FanGraphs, and Baseball Reference data using natural language through an AI assistant. It provides comprehensive tools for analyzing player performance, pitch-level data, season leaderboards, and team standings.
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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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    Enables LLMs to interact with Metabase instances through 33 tools for querying cards, dashboards, databases, collections, and executing SQL queries against your Metabase installation.
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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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    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
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    An implementation of the Model Context Protocol for the Opik platform that provides a unified interface for accessing Opik's capabilities, supporting multiple transport mechanisms for flexible integration with IDEs and other environments.
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    Apache 2.0
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    Enables LLM clients to interact with the GNU Debugger (GDB) for comprehensive debugging and binary analysis. It provides a wide range of tools for program execution control, memory examination, stack analysis, and disassembly.
    Last updated
    13
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    GPL 3.0