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"Understanding the Basics of Computer Use" matching MCP servers:

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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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    Grounds gene-nomenclature work in the HUGO Gene Nomenclature Committee (HGNC) dataset, enabling resolution of gene symbols and IDs to canonical HGNC identifiers, plus cross-references and batch operations.
    9
    MIT
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    MCP server that exposes the UniProt REST API to LLM clients, enabling search and retrieval of protein data via tools like search_uniprotkb, get_entry, and map_ids.
    7
    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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    Provides access to the Allen Institute for Brain Science API, enabling queries of datasets such as Cell Types, Mouse Connectivity, Atlases, and more via RMA queries and high-level tools.
    26
    3
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    Enables AI-powered genomic variant analysis including variant impact prediction, regulatory element discovery, and batch variant scoring. Currently operates in mock mode as a proof-of-concept awaiting the public release of Google DeepMind's AlphaGenome API.
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    MIT
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    An MCP server that provides a toolbox for interacting with EPA SWMM stormwater models, enabling users to analyze model data and interpret results through LLM-driven tools. It assists stormwater modelers in understanding hydraulic systems and modeling behavior using natural language interfaces.
    18
    6
    MIT
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    Enables analysis of FTIR spectra by accepting peak lists, natural-language descriptions, or base64-encoded spectrum files and returning spectral-library candidates from the FTIR.fun API.
    4
    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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    Enables automated assessment of research manuscripts against the TARGET reporting guideline for target trial emulation, providing item-by-item scoring with evidence and provenance.
    Apache 2.0