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  • A
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    quality
    B
    maintenance
    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
  • A
    license
    Not graded
    quality
    B
    maintenance
    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
  • A
    license
    Not graded
    quality
    B
    maintenance
    Agent-callable canine genomics API providing breed-stratified allele frequencies, pathogenicity predictions, and variant-gene-breed-disease knowledge graph for dog DNA.
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables AI assistants to look up, search, validate, navigate hierarchies, and expand value sets for SNOMED CT clinical terminology through the Model Context Protocol.
    8
    Apache 2.0
  • A
    license
    Not graded
    quality
    B
    maintenance
    MCP server for interacting with Galaxy bioinformatics platform, enabling AI assistants to connect to Galaxy instances, search and execute tools, manage workflows, and access other features.
    38
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables molecular generation, optimization, and analysis through NVIDIA MolMIM API. Supports generating drug-like molecules with desired properties, extracting molecular embeddings, and exploring chemical space around seed molecules.
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables AI agents to control RELION 5.x cryo-EM structure determination software through natural language, providing 23 tools for the complete single-particle analysis pipeline.
    4
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables MCP clients like Claude Desktop to interact with openEHR REST APIs (EHRbase) for creating compositions, managing EHRs, listing templates, and executing AQL queries.
    18
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    MCP-native scientific skills for reproducible computational biology and AI-driven drug-discovery workflows. It combines deterministic scientific tools with an MCP server to give AI agents real computational capabilities.
    Apache 2.0
  • A
    license
    Not graded
    quality
    C
    maintenance
    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
  • A
    license
    Not graded
    quality
    C
    maintenance
    MCP server for querying the official ANVISA electronic drug bulletin from a trusted source. It provides a single read-only tool for consulting drug information through natural language in any MCP-compatible client.
    MIT
  • A
    license
    Not graded
    quality
    D
    maintenance
    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.
    21
    Apache 2.0
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables AI agents to query the PomBase fission yeast model-organism database for genetic and molecular data through the Pipeworx MCP gateway.
    4
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    Enables AI assistants to search an Oscar Health in-network provider directory for doctors and facilities, with specialty resolution, local filtering by gender and review quality, plan details, and live provider records.
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    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