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

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 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 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.

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.

An MCP server that wraps the eClinicalWorks / healow FHIR R4 API so an MCP client (e.g. Claude Desktop) can read patient clinical data from one or more practices.

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.

Decodes, searches, validates, and crosswalks US medical codes (ICD-10-CM, ICD-10-PCS, HCPCS Level II) using an offline bundled index via MCP.

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 AI assistants to generate, validate, and optimize PLUMED input files for molecular dynamics simulations using a set of MCP tools.

Provides an async Python server for interacting with the PubTator3 API, exposing multiple biomedical text-mining tools compatible with the MCP agent protocol.

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.

Empowers AI agents with direct access to the official ClinicalTrials.gov database, enabling programmatic searching, retrieval, and analysis of clinical study data through a Model Context Protocol interface.