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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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    MCP server for STRING-DB that enables querying protein-protein interaction networks, functional enrichment, and homology mappings.
    392 npm
    MIT
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    An MCP server for downloading academic papers from multiple sources using intelligent routing and year-aware priority selection. It enables users to retrieve metadata and download single or batch PDFs by DOI or URL.
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    20 PyPI
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    MIT
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    An MCP server for searching and downloading books from Library Genesis, supporting EPUB, MOBI, PDF, and more through natural language queries.
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    14 npm
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    MIT
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    AI-powered research assistant MCP server for searching academic papers and answering research questions with DOI citations.
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    MCP server for the STRING protein–protein interaction database, hosted by STRING at mcp.string-db.org. Adapted for LLM grounding: responses are size-limited and include metadata and notes on interpretation and next steps. Tools cover identifier resolution, interaction networks and evidence, functional and PPI enrichment, and sequence similarity search.
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    MIT
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    Enables local literature workflows by searching arXiv, retrieving paper metadata, downloading and parsing PDFs, and retrieving page-cited body evidence for Q&A. It also exposes usage resources and templates for searching, analyzing, and summarizing papers via stdio MCP.
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    MIT
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    Provides access to the STRING protein-protein interaction database for mapping identifiers, retrieving interaction networks, and performing functional enrichment analysis. It enables users to explore protein partners, pathways, and cross-species homology through natural language interactions.
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    ISC
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    A Model Context Protocol server that provides tools for interacting with the STRING database to analyze protein-protein interaction networks and functional enrichment. It enables users to map protein identifiers, retrieve interaction data, and generate biological network visualizations through natural language interfaces.
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    BSD 3-Clause
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    Self-hosted MCP server for searching and discovering books using Anna's Archive and Goodreads datasets, enabling full-text search, ISBN/md5 lookup, similarity matching, and optional download URL retrieval.
    12 npm
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    MIT
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    Enables users to submit, monitor, cancel, and retrieve results from local mathematical computations in geometric function theory, convex optimization, and spatial graph analysis through persistent jobs, progress tracking, and paginated artifacts.
    MIT
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    Enables AI clients to look up Taiwanese Traditional Chinese publications from Google Books with automatic ISBN dash cleaning and checksum validation, ISBN-10 to ISBN-13 conversion, and high-resolution https cover resolution. Returns a normalized fact layer (identity, work, edition, cover, source) scored with publisher-weighted confidence for edition disambiguation, deduplication, and booklist decisions.
    MIT
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    Checks whether a trading backtest survives its own statistics: deflated Sharpe, multiple-testing correction against a best-of-N-noise benchmark, minimum track record length, and fill realism. Takes no market data and no API keys, and cannot recommend a trade — it only reports that a result is weaker than claimed or not yet provable.
    MIT
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    Exposes World Bank development data to AI agents via local CSV resources and live API tools, enabling queries about GDP, population, and other indicators.
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