"Health-related MCP servers or resources" matching MCP servers:

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

Seven remote MCP servers exposing 51 published Apify scrapers as agent tools: company diligence, social listening, recruiting, real estate, lead generation, e-commerce and academic research. Billed per result, and a call that returns nothing is never charged.

Integrates Taiwan health data and international medical standards, providing 28 MCP tools for diagnostics, drugs, lab tests, and clinical guidelines via FHIR R4.

Enables AI agents to verify medical-record claims against synthetic FHIR evidence using a deterministic, non-AI verifier. Provides MCP tools for evidence retrieval, claim verification, and benchmark evaluation without requiring real patient data.

Integrates Taiwan-specific medical data including ICD-10 codes, FDA drug databases, and nutrition information into the Model Context Protocol. It enables AI models to query clinical guidelines, verify medical codes, and convert health data into FHIR R4 standardized formats.

An MCP server for querying and analyzing Apache Incubator podling health reports. It provides tools to list, search, and compare podling metrics across different time windows from Apache's health report Markdown files.

Provides MCP wrappers for Allen AI's Asta research tools, enabling AI agents to manage local document collections and perform deep literature searches. It supports automated report generation, PDF text extraction, and research hypothesis synthesis.

One-call Australian health and welfare data plumbing via AIHW — cited responses for practical analysis, not a data broker.

A strategic advisory agent that applies Clayton Christensen's frameworks, such as Jobs-to-Be-Done and Disruption Theory, to analyze business decisions. It enables users to evaluate organizational capabilities, explore historical case studies, and receive theory-grounded strategic insights.

Metis — an open-source (AGPL-3.0), local-first MCP server / research companion. It answers from the user's own indexed PDF library with page-level citations (and flags what it can't find rather than inventing), keeps all data on the user's machine, and routes requests to 34 specialist agents.

Enables AI agents to operate DSpace repositories through a typed interface, including SAF package building, metadata editing, scientometric harvesting, open-access PDF downloads, and repository administration.

An MCP server that provides access to Monarch Initiative's biomedical data through the Biolink API, enabling agents to query biological entities, associations, and knowledge graphs using natural language.

Maps corporate relationships from CPF/CNPJ, revealing participations and related partners for people and companies via a read-only, hosted MCP server.

Tracks buying and momentum signals for companies, such as funding rounds, senior hires, office openings, customer wins, and partnerships, with each event carrying its date.

Enables searching the NIAID Data Ecosystem for biomedical research resources including datasets, clinical studies, and publications using Elasticsearch queries.

Enables AI assistants to load and query local GEDCOM genealogy files, supporting search, browsing, and family tree traversal.

Search and harvest Korean academic literature and book bibliography metadata from the National Library of Korea Seoji OpenAPI via MCP or CLI.

Provides AI assistants with access to real-time space weather data and forecasts from NOAA's Space Weather Prediction Center, enabling queries and interpretations of geomagnetic storms, solar flares, and related indices.

Cross-channel CPG pricing intelligence — Amazon category benchmarks (percentile rank, trend, tier breakdown) for multi-channel brands selling on Amazon plus retail/DTC/wholesale. Six tools across 800+ tracked products in Grocery, Health & Beauty, Household, and Pet Supplies.

GitHunt MCP gives AI assistants access to developer talent-discovery engine. Search a pool of millions of GitHub developers by location, role, and skills; pull a single developer's ranked profile, or run deep analysis on a candidate. Results come back ranked by fit with transparent scoring, experience, commit activity, OSS contributions and the contact info, so an agent can build a shortlist.