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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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    Verified ICD-10-CM code lookup & validation for AI agents — official descriptions, not guesses.
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    78 npm
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    Apache 2.0
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    TransBench is a translational research agent that takes free-text clinical observations, decomposes them into biological axes, generates falsifiable hypotheses grounded in PubMed evidence, and designs reproducible computational experiments with concrete datasets for Claude Science.
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    Enables Claude Desktop to query and analyze diabetes data from Omnipod 5 and Glooko through natural language, providing clinical audit and triage insights such as time in range, trends, and bolus analysis.
    12
    MIT
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    MCP server for automated ICD-10 medical coding. Code clinical text to ICD-10-CM diagnoses, search 74,000+ codes, and de-identify PHI via the AutoICD API.
    6
    17 npm
    MIT
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    Exposes a clinic's knowledge base and structured records to Claude Desktop as callable tools, with read tools grounded with citations and write tools gated behind approval.
    4
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    A Claude Code extension that embeds a senior athenahealth integration engineer in your development workflow, proactively catching data loss bugs and guiding safe DataView queries and API integrations.
    12
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    Enables searching the public Dutch AGB-register for healthcare providers, practices and locations by AGB-code, name, zorgsoort, place or postcode, and retrieving full registrations with their kwalificaties, erkenningen and relations. Runs live against the register with no API key or account, and also looks up zorgsoort and kwalificatie codes offline.
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    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.
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    73 PyPI
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    Apache 2.0
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    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.
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    Apache 2.0
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    Enables AI assistants to rapidly gather and synthesize structural, chemical, conservation, and literature data about protein binding pockets for drug-target triage. Useful as a reconnaissance step before computational binder design.
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    MIT