"Guidance on operating Linux and installing services" matching MCP servers:

Enables searching and retrieving NICE guidance for England — technology appraisals, clinical guidelines, diagnostics, interventional procedures, and quality standards — with full recommendation text, status, and supersession details.

Enables any MCP client to search and read 127 FDA guidance documents on clinical research, with tools for ranked passage search, document retrieval, and metadata lookup.

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.

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.

MyHealthfinder MCP provides access to U.S. preventive services and health screening guidance through natural language queries.

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.

MyChart MCP Server

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.

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

Enables verification of Indian doctors by querying the National Medical Commission's Indian Medical Register for registration, profiles, and blacklist status, with fallback guidance for manual lookup.

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.

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.

An MCP server for interventional pain medicine that provides Medicare documentation checklists, CPT/ICD-10 coding, ASRA anticoagulation guidance, prior-authorization letters, denial appeals, and research evidence for 85+ procedures.

Connects AI assistants to health data via the Biological Sovereignty Protocol, with cryptographically verified user consent enforced on-chain.

Exposes configured SiLA 2 servers as MCP tools so clients can discover their features, read properties, and invoke commands (including observable ones) without writing a client script per instrument. Server features are discovered dynamically, and results are returned as JSON with SiLA error details on failure.

Enables querying a veterinary clinic's services, summary, and availability from live data.

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.

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.

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.

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 regulatory submission intelligence — ICH guideline lookup, CTD module mapping, eCTD structure guidance, and FDA/EMA query support

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.

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.

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.

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

Enables users to resolve regulatory entities, query and analyze biological interactions, inspect evidence, export reproducible network data, and download official compressed source files on demand through an online-first, read-only service.

Enables interaction with synthetic NIH-style clinical research data through tools for searching publications, querying patient metadata, analyzing AAA measurements, and retrieving protocol guidance.

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.