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    An MCP server that lets an LLM answer a pharmacist's question about drug shortages by normalizing drug names, finding pharmacologic alternatives, and checking their shortage status using public FDA and NLM data.
    5
    MIT
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    A Model Context Protocol (MCP) server for searching the National Provider Identifier (NPI) registry. This server provides tools to search and retrieve information about healthcare providers and organizations in the United States.
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    Python
    MIT
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    Enables searching LOINC codes and retrieving detailed information including panel members and answer options via the LOINC Search API.
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    MIT
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    Enables searching and retrieving detailed information from PubMed articles using the NCBI Entrez API. Supports configurable search parameters including title/abstract filtering and keyword expansion to find relevant scientific publications.
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    Connects DHIS2 health information systems to AI assistants via the Model Context Protocol, enabling natural language queries for analytics, metadata, and tracker data.
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    MIT
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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
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    MIT
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    Enables LLMs to search FDA drug labels and adverse event data via the OpenFDA API, supporting natural language queries for drug safety information.
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    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.
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    BSD 2-Clause "Simplified"
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    Enables querying clinical trial information from the Chinese Clinical Trial Registry (ChiCTR) by searching trials with keywords, registration numbers, or years, and retrieving detailed trial information.
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    49
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    Apache 2.0
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    Enables LLM agents to query the CZ CELLxGENE Census single-cell atlas with ontology-aware filters, cost caps, and full provenance, allowing natural language questions about cell types, tissues, and gene expression.
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    MIT
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    Provides access to the official FDA DailyMed database for comprehensive drug information, including drug labels, NDC codes, RxNorm mappings, pharmacologic classifications, and FDA application numbers through natural language queries.
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    MIT
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    An MCP server that interacts with the ClinicalTrials.gov API v2 to perform drug safety assessments and adverse event comparisons. It enables users to search for clinical trials, retrieve detailed study information, and analyze safety profiles across various medications and control groups.
    5
    GPL 3.0