"Handling Sketch File Context and SVG Processing Overview" matching MCP servers:

Enables MCP clients to normalize messy FHIR R4 exports, reversibly de-identify them, compile compact citation-anchored clinical context, and verify model answers against the source record.

Enables voice-assistant users to follow FDA drug shortage registrations, manage a watchlist of substances, and ask what has changed since their last check.

Enables querying Brazilian PCDT clinical protocols from Conitec and generating concise, context-specific treatment summaries using a local LLM, with verified literal citations and links to official PDFs.

Enables MCP-compatible clients to act as an AI receptionist for a small medical clinic, handling appointment booking and rescheduling, patient registration, intake, reminders, and FAQ answers.

MyChart MCP Server

Works out a health plan from your own record: which screening is due and evidence-based suggestions with citations. Reads and writes one health-roadmap.json file on your machine; nothing is sent to a server.

Taiwan's first public Model Context Protocol server for National Health Insurance data — rejection codes, ICD-10 mappings, audit indicators, semantic wiki search. Powered by OPDSTAR.

Enables AI agents to retrieve cited pharmacogenomic and gene-variant information, including drug–gene guidance from CPIC/DPWG and rsID lookups, so responses can quote curated sources instead of relying on memory. A local package also lets users read raw DNA files on their own computer without sending the file data to the remote service.

Privacy layer for healthcare AI agents. Pseudonymises patient identifiers (NHS numbers, names, dates of birth, addresses; UK and US) into labelled tokens locally before text reaches an agent, then restores the originals afterwards, keeping the token map out of agent context.

A Model Context Protocol (MCP) server for interacting with Gen3 data commons, with GraphQL query validation to reduce hallucinations.

Generates family pedigree tree diagrams as PNG or SVG images using standard genetic notation compliant with Bennett 2008/2022 NSGC guidelines. Supports comprehensive genealogical features including conditions, genetic testing results, twin relationships, carrier status, and adoption indicators.

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.

A Model Context Protocol (MCP) server for searching the National Provider Identifier (NPI) registry. This server provides tools to search and retrieve information about healthcare providers and organizations in the United States.

Enables any MCP client to ask what a medical procedure costs at three Chicago hospitals and get back rows cited to each hospital's own published price file and provider registry data. Tools stay read-only and typed, returning provenance such as source file, SHA-256, effective date, and release tag with every result.

Enables querying the EMBL-EBI catalog of published polygenic scores through read-only tools that search scores, traits, publications, performance metrics, sample sets, cohorts, and releases, and that trace GWAS studies and resolve ontology and ancestry identifiers. It also lists and downloads the associated scoring-file and metadata files from the catalog's FTP site.

Connects DHIS2 health information systems to AI assistants via the Model Context Protocol, enabling natural language queries for analytics, metadata, and tracker data.

Upload your raw DNA file from 23andMe, AncestryDNA, MyHeritage, FamilyTreeDNA, or any VCF -- and watch a team of AI agents fan out across 16+ public genomics databases, share discoveries with each other in real time, and produce a comprehensive health report. Everything runs on your machine. Nothing is uploaded anywhere.

Enables AI assistants to search, browse, and retrieve interactive cell images and subcellular location data, including cell types, SVG illustrations, and location details through natural-language tool calls.

A TypeScript MCP server for interacting with CDISC Define-XML 2.0 and 2.1 files, enabling users to load, search, and retrieve clinical data metadata including datasets, variables, and codelists. It supports local file processing with document caching and provides responses in both JSON and Markdown formats.

Bridges your Nightscout CGM data with AI assistants via the Model Context Protocol, enabling natural language queries about glucose readings, treatments, statistics, and pattern analysis.

Gives AI agents read-only access to patient context on any FHIR R4 server, including journey timelines of encounters and appointments, open booking slots, and discharged patients whose follow-ups were never booked. Search, appointment, and follow-up tools return compact summaries, so agents can answer front-desk and outreach questions without write access.

MCP server for MestReNova 15 that enables processing 1D NMR data, importing ChemDraw structures, running Mnova Verify, and writing back assignments with audit trails.

Analyzes a consumer raw DNA file (AncestryDNA, 23andMe, MyHeritage, FTDNA, LivingDNA, VCF) entirely on the user's machine: Y and mtDNA haplogroups, traits, ClinVar scan, PharmCAT pharmacogenomics, and a plain-language report. Tools: analyze, summary, section, lookup, narrative_prompt/set_narrative, clinvar_findings, pharmacogenomics. Nothing is uploaded.

MCP server for connecting Claude Desktop to a local medical knowledge base with real-time file watching, enabling natural language interaction with medical documents.

Enables design-correct, conversational analysis of NHANES public-use data by automating file discovery, merging, weight selection, pooling, survey variance estimation, and mortality-linked Cox models.

Provides a Model Context Protocol server for accessing and querying biomedical data from BioThings services, including gene, variant, chemical, and taxon annotations.

A Model Context Protocol server that provides AI agents with a unified interface for real-time EEG acquisition, replay, processing, visualization, recording, and stimulation from over 66 BrainFlow boards.

MCP server for remote control of napari viewers via Model Context Protocol, enabling AI-assisted microscopy analysis with Claude Desktop and other LLM applications.

MCP server for OpenBCI hardware via BrainFlow, enabling board connection, streaming, signal processing, and export with a web dashboard.

A Model Context Protocol (MCP) server for querying drug information from the OpenFDA API. Features Retrieve drug label information by brand name Retrieve drug information by generic (active ingredient) name Get all brand versions of a generic drug Get adverse event (side effect) reports for a drug