"Information on Security Testing" matching MCP servers:

Search Vascue's public healthcare-operations documentation: AI front desk for clinics, provider-side insurance claims automation, Cliniko integration, security. Public content only.

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

Enables scoring the WHO-5 Well-Being Index from five answers, returning a 0–100 score and a low, reduced, or normal band without providing a diagnosis.

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.).

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.

Provides Claude Code with access to peer-reviewed medical information from MedlinePlus and StatPearls, and acts as an unlicensed diagnostic medical expert for educational purposes.

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.

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 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 that enables AI assistants to query U.S. FDA public datasets, including drug adverse events, labeling, recalls, approvals, shortages, NDC directory, and medical device regulatory information.

MCP server that lets AI assistants query current, dated information about PatientNotes, an AI medical scribe, covering pricing, features, languages, compliance, and competitor comparisons.

Enables searching LOINC codes and retrieving detailed information including panel members and answer options via the LOINC Search API.

Enables searching and retrieving detailed information from PubMed articles using the NCBI Entrez API. Supports configurable search parameters including title/abstract filtering and keyword expansion to find relevant scientific publications.

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.

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

MCP server to simulate NHCX payer-side actions for testing provider integrations, enabling approval, rejection, querying, and forwarding of cases. It automates the payer workflow through tools like process case and get user role.

Enables users to interact with the CUF health portal to retrieve patient information, appointments, clinical documents, invoices, and prescriptions through natural language.

A drug and clinical information MCP server for Turkish healthcare professionals, integrating TİTCK, SGK, openFDA, and PubMed data with ChatGPT and Claude.

Enables users to store and query their own medical data—labs, medications, diagnoses, wearables, and food logs—in a local Postgres database and interact with it through any MCP client, with deterministic safety checks.

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.

A Claude-compatible MCP server that exposes health-domain tools over 100% synthetic data, built with security and compliance in mind.