"Creating an MCP Server Using an API" matching MCP servers:

Enables AI agents to query Human Phenotype Ontology clinical phenotype terms, navigate term hierarchies, and retrieve gene-disease and disease-phenotype annotations through keyless MCP tools.

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 interaction with FHIR resources on Google Cloud Healthcare API through a SmartOnFHIR gateway secured by Firebase Auth, providing access to patient data, medical records, and medical research tools like PubMed.

Enables interaction with a comprehensive healthcare management system through FastAPI, supporting operations for patients, doctors, appointments, medical records, telemedicine, lab orders, prescriptions, insurance claims, and more with JWT authentication.

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.

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.

Enables interaction with the Atlas of Living Australia API to search and access 152+ million biodiversity records. Supports occurrence searches, spatial queries, bulk data downloads, and taxonomic data retrieval through natural language.

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.

Provides secure access to VA's VistA electronic health record system, enabling AI applications to retrieve and summarize patient medical records for clinical staff.

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.

MyChart MCP Server

Provides access to the Allen Institute for Brain Science API, enabling queries of datasets such as Cell Types, Mouse Connectivity, Atlases, and more via RMA queries and high-level tools.

Provides access to an AI medical chatbot API for healthcare assistance, enabling natural language interactions such as neurosurgery queries.

Enables AI agents to search and retrieve Bangladesh medicine information — brands, generics, manufacturers, and therapeutic categories — through structured MCP tools over stdio. Data access is abstracted behind a pluggable provider that ships with synthetic fixtures by default and can be swapped for an authorized live source.

Exposes DICOM operations as tools for AI agents to interact with medical imaging systems and PACS. It enables searching for studies and series, querying instance metadata, and retrieving pixel data from DICOM entities.

Exposes tools from the Ecuro Light API for managing clinical appointments, patient records, and clinic availability. It enables users to perform healthcare management tasks such as scheduling, patient search, and report generation through MCP-compatible clients.

Enables access to mock Epic patient data through 15 MCP tools with two-tier access (list summaries, then fetch details) and LLM-powered natural language search across allergies, medications, conditions, clinical notes, labs, vitals, and procedures.

Provides oncology data (research, news, FDA approvals, clinical trials) and IBM MAMMAL biomedical predictions (PPI, DTI, ClinTox) as MCP tools. Allows AI agents to query cancer datasets and run predictions through a remote MCP server.

Enables AI agents to manage doctor appointments by creating, finding, checking status, canceling, and rescheduling appointments through an MCP server that connects to an external appointment REST API.

An MCP server that gives LLMs live access to clinical trials, FDA drug recalls, adverse-event reports, drug labels, and drug-name normalization via six validated tools.

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

An MCP server that grounds protein research in the UniProt SPARQL endpoint, providing tools for querying proteins, sequences, variants, diseases, and more via intent-named tools and raw SPARQL.

Enables natural language queries about Swiss mandatory health insurance coverage for medications and medical devices using official BAG lists.

Enables querying Brazilian PCDT clinical protocols from Conitec and generating concise, context-specific treatment summaries using a local LLM, with verified literal citations and links to official PDFs.

An MCP server that lets an LLM answer a pharmacist's question about drug shortages by normalizing drug names, finding pharmacologic alternatives, and checking their shortage status using public FDA and NLM data.

Enables MCP-compatible clients to act as an AI receptionist for a small medical clinic, handling appointment booking and rescheduling, patient registration, intake, reminders, and FAQ answers.

Connects Claude to the U.S. National Library of Medicine MeSH APIs to search and retrieve medical authority data, descriptors, and qualifiers. It enables library and metadata staff to perform subject analysis and confirm terminology within an AI-assisted cataloging workflow.

An MCP server implementing the ROBINS-I V2 framework for risk-of-bias assessment in non-randomized studies, with deterministic algorithms and full provenance. It enables users to parse study documents, specify target trial results, answer signalling questions with evidence-bound quotes, and compute or override domain judgements.

MCP server that reads glucose data from a FreeStyle sensor via the LibreLinkUp API, providing current glucose and history with explicit coverage and gaps.

Monitors PubMed and medRxiv for configurable research topics, summarizes papers using a local LLM, and stores deduplicated results in a local database.