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  • A
    license
    A
    quality
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    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
    C
    maintenance
    Provides seamless integration with FHIR APIs, enabling AI/LLM tools to search, retrieve, and analyze clinical healthcare data with support for SMART-on-FHIR authentication and multiple transport protocols.
    7
    116 PyPI
    136
    Apache 2.0
  • A
    license
    A
    quality
    A
    maintenance
    Enables analysis of Brazilian public hospital admissions (SIH/SUS) focusing on primary care-sensitive conditions, with tools for querying annual cubes, monthly series, and municipal rates per 100,000 inhabitants from 1992 to 2025.
    12
    351 npm
    MIT
  • A
    license
    A
    quality
    F
    maintenance
    Enables conversational access to 400,000+ clinical trials on ClinicalTrials.gov, allowing users to search, compare, and retrieve trial details using plain English through MCP-compatible clients like Cursor and Claude Desktop.
    5
    3
    MIT
  • A
    license
    A
    quality
    C
    maintenance
    Provides deterministic parental guidance for children with chronic kidney disease, including food safety checks, lab report interpretation, and nutrient-aware food substitutions based on authoritative guidelines and the Chinese Food Composition Table.
    12
    MIT
  • F
    license
    A
    quality
    B
    maintenance
    MCP server for pediatric CKD follow-up management, providing tools to schedule follow-ups based on KDIGO 2024 guidelines, retrieve follow-up records, compute adherence scores, and access PEW history.
    4
    -
  • F
    license
    A
    quality
    B
    maintenance
    Generates multi-day CKD meal plans for children based on PRNT targets (energy, protein, potassium, phosphorus, sodium), providing nutrient summaries and target achievement rates for dietitians.
    2
    -
  • A
    license
    A
    quality
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    maintenance
    Enables AI-driven pharmacogenomic analysis by querying structured genetic variant, drug response, and disease risk data. Supports natural language questions about medications, traits, and health risks based on user genome data, with privacy-first local execution.
    16
    8 npm
    12
    MIT
  • A
    license
    A
    quality
    A
    maintenance
    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.
    6
    Apache 2.0
  • A
    license
    A
    quality
    B
    maintenance
    Enables read-only SMART on FHIR R4 discovery, search, and read operations against public synthetic sandboxes, returning actual empty results and 404s rather than inventing patient data.
    4
    MIT
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    license
    B
    quality
    C
    maintenance
    An MCP server that connects AI assistants to OpenEMR instances to manage patient records, clinical trends, and medication safety. It provides 17 tools for tasks such as patient search, drug interaction checks, and generating comprehensive health trajectories and visit preparations.
    17
    MIT
  • A
    license
    B
    quality
    D
    maintenance
    Enables AI assistants to search and retrieve biomedical research articles from PubMed's database of over 35 million citations, including metadata, abstracts, MeSH terms, and full-text PDFs when available.
    1
    1
    MIT
  • F
    license
    B
    quality
    C
    maintenance
    Enables clinicians and developers to query Malaysian Clinical Practice Guidelines using natural language, returning structured responses based on official CPG references.
    1
    7
    -
  • A
    license
    Not graded
    quality
    D
    maintenance
    Enables AI assistants to perform quality control analysis on high-throughput sequencing data using FastQC and MultiQC. It supports single-file and batch processing of FASTQ/FASTA files and generates comprehensive, interactive summary reports.
    MIT