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    Connects Claude to the U.S. National Library of Medicine MeSH APIs to search and retrieve medical authority data, descriptors, and qualifiers. It enables library and metadata staff to perform subject analysis and confirm terminology within an AI-assisted cataloging workflow.
    4
    1
    GPL 3.0
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    A Model Context Protocol (MCP) server for querying drug information from the OpenFDA API. Features Retrieve drug label information by brand name Retrieve drug information by generic (active ingredient) name Get all brand versions of a generic drug Get adverse event (side effect) reports for a drug
    7
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    MIT
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    A reference MCP server for clinic scheduling and intake, demonstrating production patterns like tenant isolation, idempotent writes, and structured errors using synthetic data.
    5
    MIT
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    Provides fast lexical and optional semantic search over NiiVue neuroimaging visualization library documentation and API reference. Enables LLMs to query guides, retrieve API documentation from TypeScript source, and access structured information through cached BM25 and embedding-based search.
    6
    19
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    BSD 2-Clause "Simplified"
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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.
    20
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    Automatically analyzes and dispatches user tasks to appropriate handlers, supporting development task processing via Miyabi Agent and medical AI academic article generation. Provides intelligent task classification and routing for development, writing, and general tasks.
    4
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    Extracts basic chemical information and drug data from the PubChem API. It enables users to retrieve molecular details such as SMILES, IUPAC names, molecular formulas, and synonyms for specific compounds.
    3
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    Enables querying US regulated-care providers (GLP-1 clinics) with tools for searching, retrieving details, and checking compliance, using natural language or function calls.
    2
    MIT
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    A structure-aware MCP server for querying the SPOKE biomedical knowledge graph, enabling entity resolution, schema introspection, path finding, and safe Cypher queries for biomedical knowledge inference.
    Apache 2.0