"Setting up services on a Linux virtual machine" matching MCP servers:

Enables portable synthetic virtual-care visits through MCP Apps and browser, allowing users to prepare appointments, rehearse consultations, simulate insurance and self-pay billing, and export FHIR records.

Enables medical students and doctors to conduct simulated clinical consultations, including history-taking, physical examination, diagnostic ordering, medication administration, and OSCE-style scoring across predefined emergency and ward cases.

A Multi-Agent Conversation Protocol Server that provides a natural language interface to the U.S. Department of Health & Human Services (HHS) Media Services API, allowing users to access health-related data and media resources through conversational AI.

Enables training, predicting, evaluating, and explaining Logistic Regression and KNN models for breast cancer classification through MCP tools. It also supports model selection, SHAP explanations, and Parquet audit exports.

A clean-room SHARP-on-MCP compliant FHIR R4 MCP server that enables AI agents to interact with any FHIR R4 endpoint using SHARP context headers, without server-side OAuth. It provides clinical tools, lab results, imaging, and interactive MCP-UI dashboards.

Enables users to train and evaluate Logistic Regression and KNN models for breast cancer diagnosis, generate predictions and SHAP explanations, select the best-performing model, and export Parquet audit logs through MCP tools.

Enables clinical teams to list patients with active sharing and read glucose, graph, logbook, and statistics from LibreLink Up, with secure magic-link login and encrypted credentials.

Enables users to train and compare breast-cancer classification models, obtain sample inputs, make predictions with Logistic Regression or KNN, evaluate metrics, select the best model, generate SHAP explanations, and export Parquet audit logs through MCP tools.

Enables LLM agents to query de-identified FHIR-shaped hospital data through audited, read-only tools for patients, encounters, conditions, observations, medications, and interaction checks, while any medication write stays a draft that a clinician must confirm out-of-band.

Enables genomic sequence analysis through the Evo 2 model, supporting DNA sequence scoring, embedding, generation, and variant effect prediction with multiple model checkpoints (7B, 40B, 1B parameters).

Enables variant annotation and effect prediction using the Ensembl VEP API, with support for batch and single queries.

An open source biomedical research agent that provides LLMs with 28 tools for drug discovery, protein analysis, literature search, medical imaging, omics, and sandbox execution, all running locally via Ollama and MedGemma.

Enables querying and monitoring Brazilian Federal Council of Medicine resolutions on AI, telemedicine, and electronic medical records, with a local searchable copy and official document links.

MCP server enabling AI agents to search and retrieve evidence reviews from evipedia.ai on health and longevity interventions, and to suggest new interventions for review.

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.

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.

Enables read-only consultation of the latest published content on AI applied to medicine—articles, news, podcasts, lessons, events, conferences and repositories—through tools to list recent items, search by topic, and open item summaries with links.

Enables validation of clinical notes in SOAP format, checking required fields and semantic coherence using a local LLM, all processed locally with no data leaving the machine.

Enables developers to diagnose why FSE 2.0 CDA2 documents are rejected by validating locally, explaining schematron/XSD errors, looking up code systems, and generating synthetic sample documents.

Enables a dental office's AI agent to verify benefits for a batch of up to 25 patients in a single MCP call, returning coverage percentages, frequency limits, waiting periods and deductible/annual-maximum remaining, each tied to a plan-clause citation. Exceptions such as identity mismatches or ambiguous cases are routed to a human review queue rather than guessed, with every call audit-logged.

Enables agents to interact with a clinic booking API, including listing specialties, doctors, and a patient's appointments, and booking or cancelling appointments when the active profile permits, while preserving the caller's authority and screening tool descriptions for safety.

Enables AI assistants to answer peptide questions from PepBank study summaries with cited sources, and to look up catalog products with variants, prices, stock and per-lot lab reports (COAs). Also covers store policies and generates cart links for checkout on curo.you.

Enables AI assistants to query and read data on DICOM servers (PACS, VNA, etc.).

Enables querying a synthetic patient dataset with tools to look up patients by ID, age, disease, name, and get statistics, connecting Claude Desktop to local data.

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.

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.

Enables checking whether a medicine has a reported shortage in Portugal (Infarmed monitoring, export-suspension and prior-notification lists) and finding pharmacies in a municipality that are on duty today or open now, with addresses, phone numbers and distances. Also surfaces the relevant help lines and next steps, read-only from public sources and without pharmacy stock data.

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.

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.

Provides safe read-only access to synthetic healthcare data via FHIR R4, enabling AI assistants to search patients, retrieve vitals, and summarize conditions using a public sandbox.