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    Provides AI assistants with clean access to 58 US macroeconomic indicators from the FRED database, with pre-computed changes and no need to know series IDs.
    8
    MIT
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    Enables searching biomedical images (X-rays, CT/MRI, clinical photos, etc.) from the Open-i database using natural language queries, returning image results as Markdown links.
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    MIT
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    MCP server for querying the Japanese KAKEN database of scientific research grants, enabling search of projects and researchers via Claude.
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    MIT
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    Enables AI agents to search and retrieve academic papers, author profiles, and citation data from the Scopus database via MCP tools.
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    MIT
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    Connects AI agents to the OpenAlex scholarly database, enabling search and retrieval of works, authors, institutions, and sources via natural language.
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    MIT
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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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    7
    MIT
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    Enables AI agents and applications to search, retrieve, and analyze chemical compounds, substances, and bioassays from PubChem's vast chemical information database through comprehensive tools for chemical research and discovery.
    10
    210 npm
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    Apache 2.0
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    A Model Context Protocol server that provides access to the DBLP computer science bibliography database, allowing AI models to search publications, process citations, and generate accurate BibTeX entries.
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    276 PyPI
    46
    MIT
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    MCP server for the OpenAlex scholarly database, providing AI agents with tools to search and retrieve academic works, authors, and institutions via natural language queries.
    8
    MIT
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    Enables querying the WormBase database for C. elegans and nematode genomics data, including gene information, protein sequences, phenotypes, interactions, and expression patterns through natural language.
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    11 npm
    MIT
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    Enables AI assistants to query the eggNOG 7 database in natural language for protein lookups, orthologous groups, pairwise orthologs, protein families, taxonomy, and database statistics. Also delivers structured functional annotations such as KEGG KO and GO terms with confidence scores, plus an index of bulk-downloadable data files.
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    MIT
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    A tool for querying and analyzing materials data from the Materials Project database using natural language prompts, enabling materials scientists to explore properties, structures, and compositions of materials through conversational interfaces.
    3
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    BSD 3-Clause