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    Enables chatting with your site's SEO using real data, including crawling, on-page auditing, Google Search Console performance, Core Web Vitals, and competitor comparison from MCP clients like Claude or Cursor.
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    1
    MIT
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    MCP server for searching Ex Libris Primo library catalogues and subscribed databases, enabling search, record retrieval, autocomplete, citation generation, and export to BibTeX, RIS, or CSV.
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    MIT
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    A bridge connecting AI agents to NCBI's PubMed database through the Model Context Protocol, enabling seamless searching, retrieval, and analysis of biomedical literature and data.
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    Apache 2.0
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    Bridges Claude (or any MCP client) to manufacturing data via the i3X standard, enabling natural language queries about equipment status, hierarchy, and historical trends.
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    MIT
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    Enables AI assistants to search and retrieve cryptographic research papers from the IACR Cryptology ePrint Archive. Supports smart search by title, author, or keywords, paper details, and recent papers.
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    MIT
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    Enables AI assistants to access and search 3GPP telecommunications specifications through direct integration with the TSpec-LLM dataset. Provides real-time specification content, implementation requirements, and multi-spec comparisons for 3GPP standards development.
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    MIT
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    MCP server for Interactive Brokers API integration, enabling account management, trading, market data, and short selling analysis through Claude.
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    MIT
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    An MCP server that wraps the eClinicalWorks / healow FHIR R4 API so an MCP client (e.g. Claude Desktop) can read patient clinical data from one or more practices.
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    A comprehensive Model Context Protocol (MCP) server for accessing the STRING protein interaction database. This server provides powerful tools for protein network analysis, functional enrichment, and comparative genomics through the STRING API.
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    A Model Context Protocol (MCP) server that provides access to Crunchbase data for AI assistants. This server allows AI assistants to search for companies, get company details, funding information, acquisitions, and people data from Crunchbase.
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    MIT
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    Enables searching, extracting, and analyzing over 2.4 million arXiv papers, with PDF extraction via GROBID and citation network building through Semantic Scholar integration.
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    MIT
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    Enables real-time search and retrieval of academic paper information from multiple sources, providing access to paper metadata, abstracts, and full-text content when available, with structured data responses for integration with AI models that support tool/function calling.
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    AGPL 3.0