"How to create the most intelligent agent" matching MCP servers:

Enables AI agents to rank US healthcare organizations for clinical trial site feasibility, predicting patient accrual for a Graves' disease protocol using claims and registry data.

An MCP server and web application that enables natural language medical queries and patient data analysis powered by Gemini AI. It allows users to track and analyze patient biometrics, including vitals, sleep patterns, and laboratory results, through a comprehensive set of automated medical tools.

AI-powered HEOR (Health Economics and Outcomes Research) MCP server with 7 tools for literature search across 41 medical data sources, cost-effectiveness modeling (Markov/PartSA/PSA), and HTA dossier preparation for NICE, EMA, FDA, IQWiG, HAS, and EU JCA submissions.

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.

A local-first MCP server for querying multi-omic personal health data (genome, labs, wearables) with an honesty contract and progressive disclosure skills.

Enables natural-language querying of a mock legacy healthcare database and returns validated FHIR resources (Patient, Observation, Condition).

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.

Provides medical symptom extraction, differential diagnosis generation, PubMed literature search, and abstract summarization tools for LLM agents.

Enables medical care management by retrieving and synthesizing PubMed literature, drafting provider emails for user review, and supporting human-in-the-loop approvals.

Enables analysis of clinical trial protocols using MCP tools for document listing, entity extraction, adverse event clustering, and summarization.

Provides a six-tool research-assistance workflow for CRC-LNM cases using precomputed CT, pathology features, and clinical values. Enables multimodal analysis and research queries on deidentified cases.

MCP server for headless care coordination, providing tools for case-aware provider search powered by ai-carematch.

Enables read-only access to Chinese FHIR electronic health records, including patient summaries, medication review context, record queries, and attachment reading, along with controlled CSV import and status tools.

Integrates with EMRs like Cerner and Epic via FHIR to retrieve patient data, and provides medical research tools (PubMed, clinical trials, FDA) for clinical analysis.

Enables secure natural language querying of a clinical SQL Server database using a local Ollama model, with strict SQL validation to protect sensitive data.

Enables prediction of blood-brain barrier permeability for drug molecules via machine learning, with molecule name lookup, plain-language explanations, similar drug search, and applicability domain checks. Exposes these as MCP tools and orchestrates them via a LangGraph agent.

Enables AI agents to search and analyze clinical trial data from ClinicalTrials.gov using both structured SQL queries for filtering trials by status, phase, and conditions, and semantic vector search for exploring detailed protocol information like exclusion criteria.

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 LLM-driven tool execution with policy-gated authorization, deterministic verification, and replay for radiographic measurement and SQL repair tasks.

Exposes a local biomedical literature pipeline as MCP tools for automated research workflows. Enables literature search, open-access paper retrieval, and draft generation for biomedical and pathology domains through standard MCP clients.