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  • F
    license
    Not graded
    quality
    D
    maintenance
    Retrieves comprehensive patient information including personal details, insurance plans, and employee data through the get_patient tool. Supports Docker Compose deployment and integration with Watson Orchestrate for healthcare data access.
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  • A
    license
    A
    quality
    B
    maintenance
    An MCP server implementing the ROBINS-I V2 framework for risk-of-bias assessment in non-randomized studies, with deterministic algorithms and full provenance. It enables users to parse study documents, specify target trial results, answer signalling questions with evidence-bound quotes, and compute or override domain judgements.
    9
    Apache 2.0
  • A
    license
    A
    quality
    C
    maintenance
    Provides read-only access to the ProPaths verified protein interactome, letting AI agents search proteins, retrieve mechanistic interaction details, and explore pathway ontology through MCP tools, resources, and prompts.
    11
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    Typed, validated FHIR tools for healthcare AI agents — build, read, validate, and code FHIR resources from a patient bundle, with terminology lookup and machine-readable validation reports built for fix-and-retry.
    8
    57 PyPI
    226
    Apache 2.0
  • A
    license
    A
    quality
    C
    maintenance
    Enables LLM agents to search biomedical literature, retrieve article details, find related papers, manage caching, and download open-access full texts through MCP with structured, agent-friendly responses.
    5
    Apache 2.0
  • A
    license
    A
    quality
    D
    maintenance
    Enables LLM-based agents to interact with FHIR healthcare data through natural language prompts, providing full CRUD operations on FHIR resources, document processing, and semantic search capabilities.
    13
    100
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    Enables AI assistants to interact with the Open Targets Platform API to search and retrieve comprehensive data about target-disease associations, drugs, genes, and drug discovery information through GraphQL queries.
    5
    37
    Apache 2.0
  • A
    license
    A
    quality
    D
    maintenance
    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.
    1
    4
    Python
    MIT
  • A
    license
    A
    quality
    B
    maintenance
    An MCP server that enables AI assistants to query U.S. FDA public datasets, including drug adverse events, labeling, recalls, approvals, shortages, NDC directory, and medical device regulatory information.
    10
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    MCP server that lets AI assistants query current, dated information about PatientNotes, an AI medical scribe, covering pricing, features, languages, compliance, and competitor comparisons.
    6
    1
    MIT
  • A
    license
    A
    quality
    D
    maintenance
    Enables searching LOINC codes and retrieving detailed information including panel members and answer options via the LOINC Search API.
    2
    1
    MIT
  • F
    license
    A
    quality
    C
    maintenance
    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.
    1
    -
  • A
    license
    A
    quality
    D
    maintenance
    Connects DHIS2 health information systems to AI assistants via the Model Context Protocol, enabling natural language queries for analytics, metadata, and tracker data.
    13
    MIT
  • F
    license
    A
    quality
    C
    maintenance
    Enables querying simulated healthcare professional engagement data from Supabase, including HCP profiles, interactions, consent status, prescribing trends, and segment analytics through natural language.
    9
    -