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    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
    97
    MIT
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    MCP server that locally de-identifies health documents, such as prescriptions, reports, images, and PDFs, before use with Codex or Claude Code. It runs OCR and identifier detection on-device and only returns de-identified text to the agent when the automated policy check results in PASS.
    5
    Apache 2.0
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    A high-performance MCP server that gives LLMs access to 25 biomedical tools federated across 50+ upstream APIs for genes, variants, drugs, diseases, literature, clinical trials, and structural biology.
    25
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    2
    MIT
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    An MCP server for healthcare intake forms that lets AI agents import blank PDFs, create patient fill links, and retrieve completed PDFs while keeping PHI out of the model context.
    MIT
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    Enables AI assistants to look up, search, validate, navigate hierarchies, and expand value sets for SNOMED CT clinical terminology through the Model Context Protocol.
    7
    Apache 2.0
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    MCP server for querying the GWAS Catalog (EBI/NHGRI), a curated catalog of genome-wide association studies. It enables AI agents to search and retrieve study data via natural language or direct tool calls.
    4
    MIT
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    Enables querying and browsing ontologies from the EBI Ontology Lookup Service, including searching for terms, retrieving term details, and navigating ontology hierarchies via natural language.
    8
    MIT
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    An MCP server that provides SNOMED CT clinical terminology lookup via any FHIR R4 terminology server supporting SNOMED CT and ECL. Offers tools for searching by term, fetching by code, and navigating the concept hierarchy.
    20
    Apache 2.0
  • A
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    Enables AI agents to query the PomBase fission yeast model-organism database for genetic and molecular data through the Pipeworx MCP gateway.
    4
    MIT
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    Provides a natural language interface for scRNA-Seq analysis using the Scanpy library, supporting operations such as data preprocessing, clustering, and visualization. It enables AI agents and clients to perform complex single-cell transcriptomics workflows through the Model Context Protocol.
    2
    BSD 3-Clause
  • A
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    MCP server for the Semble practice-management API, enabling AI agents to search for patients, contacts, and users, as well as retrieve patient relationships via read-only tools.
    MIT
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    Enables querying clinical trial data from the AACT database (ClinicalTrials.gov) using natural language through tools like list_tables, describe_table, and read_query.
    GPL 3.0