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    Enables searching, downloading, and exporting academic papers from 20+ scholarly sources including arXiv, PubMed, and Semantic Scholar. Supports multi-source concurrent search, citation network tracing, and export to CSV, RIS, and BibTeX.
    MIT
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    Enables searching and downloading academic papers from 14 platforms including arXiv, PubMed, Google Scholar, Web of Science, Springer, and Sci-Hub with unified data format and intelligent rate limiting.
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    MIT
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    Enables access to South Korea's Ministry of Gender Equality and Family youth activity information through public data API, supporting regional searches, keyword filtering, and activity discovery for youth programs.
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    Enables AI agents to query Korean listed companies' financial statements, public disclosures, executive information, and shareholder structures in real-time using the DART API.
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    An academic paper retrieval server that enables AI assistants to search and filter millions of scholarly works from the OpenAlex database by keywords, country, and publication year. It provides comprehensive metadata including abstracts, citation data, and institutional affiliations to streamline academic research and literature reviews.
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    MIT
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    Provides real-time access to over 200 million scientific papers and full-text extraction from major academic sources including arXiv, OpenAlex, and PubMed Central. It enables users to search, fetch metadata, and analyze citations across multiple research disciplines through a unified Model Context Protocol interface.
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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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    Enables searching and retrieving articles, citations, and structured content from Grokipedia for research and information retrieval. It provides specialized tools for section extraction, related page discovery, and filtered search results.
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    MIT
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    An MCP server for the Open Food Facts API that allows users to search, read, and contribute to a global food database. It enables looking up nutrition data by barcode or name and managing product information through natural language.
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    MIT
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    Enables collection of patent-related information from PatSnap's API for trend analysis and reporting, providing tools for patent trends, word clouds, innovation wheels, and identification of top inventors, assignees, and litigated patents.
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    MIT
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    Enables natural language search for cocktail recipes and ingredient information through TheCocktailDB API. Supports searching by cocktail name, ingredient, category, or alcohol content to discover recipes and recommendations.
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    Enables AI-powered academic research by searching and retrieving research papers from OpenAlex database. Supports searching by keywords/topics and fetching full abstracts for detailed paper analysis.
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    Enables access to Hong Kong government's official open data portal (DATA.GOV.HK) through natural language queries. Supports searching datasets, browsing categories, and retrieving detailed information about Hong Kong's public data resources.
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    MIT
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    Enables searching and retrieving academic papers from arXiv with support for advanced filtering by author, category, and date, plus full paper content extraction.
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    MIT
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    An MCP server that enables LLMs to query data from various NASA APIs, allowing access to astronomical data, space weather information, Earth imagery, and exoplanet information directly from compatible AI clients.
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    MIT