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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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    Real-time web intelligence with freshness timestamps. Every extraction returns a dated envelope so AI agents know exactly how old the data is. Covers GitHub, HN, Scholar, arXiv, YC, jobs, finance, and package trends.
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    MIT
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    Enables users to search and retrieve package repository information from Repology through natural language. Supports searching projects, getting detailed package information, and checking repository problems across multiple Linux distributions and package managers.
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    MIT
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    An MCP server that provides access to the OSS Insight Public API for GitHub repository analytics. It enables querying trending repositories, contributor statistics, and collection rankings through various tools.
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    MIT
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    An MCP server that integrates AI retrievals with NASA's Common Metadata Repository (CMR), allowing users to search NASA's catalog of Earth science datasets through natural language queries.
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    Enables AI assistants to interact with the World Bank open data API, allowing for listing and analysis of indicators across available countries.
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    Enables repository QA, funder compliance, CSV index analytics, search/facets, and exports over DataCite monthly and public datafiles, all run locally with stream-read performance.
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    MIT
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    Connects AI agents to the PANGAEA earth and environmental science data repository, enabling full-text dataset search and facet aggregation via MCP tools.
    MIT
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    Enables AI agents to interact with RuneScape 3 and OSRS ecosystems through tools for Grand Exchange prices, player stats, and server data.
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    Apache 2.0
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    Defeatbeta API is an open-source alternative to Yahoo Finance's market data APIs, designed to provide reliable and high-performance financial data.
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    Apache 2.0
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    MCP server that wraps the Wikidata API, enabling AI agents to query and interact with Wikidata data using natural language through the Pipeworx gateway.
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    MIT
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    A Model Context Protocol server for scholarly tools, enabling AI assistants to interact with scholarly data and services via discoverable tools.
    MIT
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    A Model Context Protocol (MCP) server that provides AI assistants with a seamless, programmatic interface to search and read academic papers from the open-access arXiv repository.
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    Manages arXiv papers: search, download, analyze, and save AI-generated summaries. Enables AI assistants to interact with the arXiv platform.
    MIT