A comprehensive Model Context Protocol (MCP) server that provides access to the Ensembl REST API for genomic data, comparative genomics, and biological annotations.

A Model Context Protocol (MCP) server for querying drug information from the OpenFDA API. Features Retrieve drug label information by brand name Retrieve drug information by generic (active ingredient) name Get all brand versions of a generic drug Get adverse event (side effect) reports for a drug

Model Context Protocol server for accessing Reactome pathway and systems biology data.

Enables comprehensive interaction with DHIS2 health information systems through 40+ tools covering complete Web API functionality. Supports data management, tracker programs, analytics, and bulk operations for DHIS2 development and administration.

A comprehensive Model Context Protocol server for accessing Gene Ontology (GO) data, enabling AI systems to perform ontology-based analysis, gene annotation research, and functional enrichment studies.

A comprehensive Model Context Protocol (MCP) server for accessing the SureChEMBL chemical patent database.

A production-ready Model Context Protocol (MCP) server that provides comprehensive access to the BioOntology API for searching, annotating, and exploring over 1,200 biological ontologies.

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.

MCP server that interfaces with the NCBI Entrez API to fetch detailed information about genes and proteins, enabling gene searches, gene/protein metadata retrieval, and symbol searching with organism filtering.

A comprehensive Model Context Protocol (MCP) server for accessing Human Protein Atlas data, providing information about protein expression, subcellular localization, pathology, and more.

Provides access to FishBase marine biology data including species information, ecological data, distribution records, and morphological details. Enables species name validation and conversion between common and scientific names through natural language queries.

Unofficial Model Context Protocol server for accessing Open Targets platform data for gene-drug-disease associations research.

Enables editing and querying of Gene Ontology Causal Activity Models (GO-CAMs) through the Barista API. Supports model creation, individual and fact management, evidence addition, and causal pathway construction for biological knowledge representation.

Official Medplum MCP server for healthcare automation

Enables seamless integration with FHIR APIs for healthcare applications, allowing users to search, retrieve, create, update, and analyze clinical information through natural language interactions. Supports SMART-on-FHIR authentication and works with various healthcare systems like EPIC and HAPI FHIR servers.

Enables LLMs to run rule-based molecular interaction simulations using the Kappa language through the Kappybara package. Returns simulation results as CSV data for analysis of biochemical systems and molecular binding dynamics.

Enables deep probabilistic analysis of single-cell omics data using scvi-tools through natural language. Supports SCVI for scRNA-seq analysis, SCANVI for cell type annotation, TOTALVI for multi-modal RNA/protein data, and PEAKVI for scATAC-seq analysis.

Enables users to write and execute SPARQL queries against open-access SPARQL endpoints by providing relevant query examples, schema information, and endpoint metadata. Supports querying biological databases like UniProt and Bgee through natural language interactions.

Enables querying relationships between plant species, small molecules, and mitochondrial Complex I inhibitors by bridging natural-product, biodiversity, and PubMed datasets. Allows LLMs to perform structured searches and reasoning over biological data to identify potential plant-derived mitochondrial inhibitors.

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 access to 56 professional medical calculators covering multiple specialties including cardiovascular, renal, hepatic, respiratory, and critical care assessments. Enables healthcare professionals to perform evidence-based calculations with detailed explanations and automatic unit conversions.

Enables molecular generation, optimization, and analysis through NVIDIA MolMIM API. Supports generating drug-like molecules with desired properties, extracting molecular embeddings, and exploring chemical space around seed molecules.

Enables comprehensive access to PubChem's chemical database with over 110 million compounds. Supports chemical searches, structure analysis, bioactivity data, safety information, and molecular property calculations through 30 specialized tools.

Enables LLMs to securely interact with FHIR healthcare servers and HL7 terminology services. Provides comprehensive healthcare data operations with built-in PHI protection, audit logging, and SMART on FHIR authentication.

Enables natural language control of quantum photonics experiments through the qudi framework. Supports safe instrument control, measurement execution, and safety system management with built-in runlevel protection and parameter validation.

Enables interaction with the CEDAR (Center for Expanded Data Annotation and Retrieval) metadata repository to fetch templates and retrieve template instances. Supports querying structured metadata and biomedical data annotations through the CEDAR platform.

Enables medical symptom guidance and disease consultation through the Zydsoft API. Provides disease diagnosis guidance and access to lists of medical conditions and departments.

Enables users to query ClinicalTrials.gov using natural language instead of complex API parameters, translating plain English requests into structured API calls and returning organized clinical trial data.

Enables users to retrieve chemical safety information including compound properties, GHS safety classifications, and toxicity data from PubChem database using compound names or CIDs. Supports batch queries with caching for efficient chemical safety research and analysis.

Enables interaction with Athena Health's API for comprehensive healthcare practice management. Supports appointment scheduling, provider and department management, patient search, and available slot discovery through natural language.

Enables comprehensive healthcare data analysis using Tuva Health demo data with tools for value-based care analytics, quality measures, utilization analysis, and financial metrics. Supports patient demographics, PMPM analysis, chronic conditions tracking, readmissions analysis, and HCC risk scoring through BigQuery integration.

Enables LLMs to interact with OpenEHR electronic health record systems by retrieving clinical archetypes, generating AQL queries from natural language, and executing queries against on-premise EHR databases. Supports OpenEHR Clinical Knowledge Manager integration and custom IIS-hosted EHR APIs for comprehensive medical data access.

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.

Enables AI assistants to securely access Epic Healthcare Systems patient data through FHIR R4 API integration. Provides tools for searching patients, retrieving clinical summaries, vital signs, medications, and generating healthcare reports with HIPAA-compliant OAuth 2.0 authentication.

Provides comprehensive HIPAA compliance guidance for developers building healthcare applications. Offers tools to identify PHI, understand encryption requirements, navigate business associate rules, and ensure compliance with HIPAA Security and Privacy Rules.

Enables AI assistants to query and analyze genomics data from the GTEx Portal through 25 specialized tools for gene expression analysis, eQTL/sQTL associations, and genetic variant lookups across 54 human tissue types.

Automatically analyzes and dispatches user tasks to appropriate handlers, supporting development task processing via Miyabi Agent and medical AI academic article generation. Provides intelligent task classification and routing for development, writing, and general tasks.

An advanced integrated MCP server platform that combines 600+ tools and multiple biomedical databases to enable comprehensive information retrieval across molecules, proteins, genes, and diseases for accelerating therapeutic research.

A multi-purpose MCP server for AI-powered healthcare assistance that processes clinical data through configurable LLM providers. Maintains webhook endpoints for patient data processing with PostgreSQL logging and OpenAPI documentation.

An MCP server that enables interaction with Google's Cloud Healthcare API, allowing users to manage healthcare data, FHIR resources, DICOM stores, and healthcare datasets through natural language commands.

Enables AI-powered clinical decision support by integrating with athenahealth's API to access patient data, manage prescriptions, check drug interactions, and generate clinical assessments. Provides HIPAA-compliant healthcare workflows with comprehensive audit logging and data sanitization.

Enables medical image analysis, structured medical report generation, and medical Q\&A through the Lingshu medical AI model. Provides healthcare professionals and developers with AI-powered medical assistance capabilities via a FastMCP server interface.

Enables interaction with MGnify metagenomics resources and tools through the Model Context Protocol. Provides access to MGnify's API for querying and analyzing metagenomic datasets and related biological information.

Enables natural language exploration and advanced analysis of VitalDB medical datasets. Supports statistical filtering, correlation analysis, group comparisons, anomaly detection, and comprehensive visualization of physiological signals and patient data.

Enables integration with the Cliniko practice management system through MCP tools and resources. Supports patient management, appointment scheduling, and practice data access through natural language interactions.

A Model Context Protocol server that enables querying FHIR healthcare data using natural language, allowing doctors to retrieve patient information, medications, observations, and other healthcare records.

An MCP server for accessing India's National Digital Health Mission (NDHM) Health ID services, enabling health information management through the NDHM API.

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.

This server enables interacting with the National Digital Health Mission's Health Information User (HIU) API, allowing agents to access and manage health information through the Multi-Agent Conversation Protocol.

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 progressive discovery and management of FHIR healthcare resources through intent-based grouping, with support for creating/validating resources, converting between formats, and transforming medical PDFs to FHIR DocumentReference resources.

MCP server that routes medical questions and images to MedGemma models hosted on Vertex AI, enabling interaction with text-only and multimodal medical AI systems.

A medical communication protocol server that enables PostMessage-based integration between iframes and parent applications, providing simulated medical tools for medication management, allergy tracking, and other healthcare functions.

An MCP Server that provides access to Google Cloud Life Sciences API, enabling users to run biomedical workloads in the cloud through natural language interactions.