"Unique Minecraft Pocket Edition Servers" matching MCP servers:

Provides seamless access to the Protein Data Bank in Europe (PDBe) API and search capabilities, enabling AI clients to query protein structures, perform advanced searches, and retrieve structural biology data.

Enables building and analyzing signalling networks from interaction databases through a Model Context Protocol server.

MCP server for clinical charting with Claude (codename: Ratchet) - Enables Claude to document patient visits directly into Electronic Medical Records, reducing administrative burden for home health nurses.

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.

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.

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 assistants to query and read data on DICOM servers (PACS, VNA, etc.).

Three composable MCP servers for clinical AI — FHIR R4 read/search/validate, medical terminology (LOINC/SNOMED/RxNorm/ICD-10), and drug safety reasoning (interactions, dose check, allergy). Apache-2.0, production-ready.

Provides GPU-accelerated scientific computing capabilities including symbolic mathematics, quantum wave mechanics simulations, molecular dynamics, and neural network training through four specialized MCP servers.

Queries US prescription drug use by medical condition from AHRQ's Medical Expenditure Panel Survey — which drugs Americans take for a given condition, what a drug is prescribed for, and national volume, spending and out-of-pocket share for individual drugs or the top drugs of a year. Every response carries sample sizes and reliability flags so estimates are treated as rough magnitude and ranking rather than precise counts.

A collection of MCP servers providing medical calculation tools (eGFR, pregnancy due dates, pediatric asthma score, strep McIsaac) for AI assistants, with support for Chinese medical terminology and detailed clinical explanations.

Exposes a FHIR endpoint as deterministic read-only tools, providing a context layer for retrieving clinical data from FHIR servers.

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 interaction with FHIR servers to access, search, and manage FHIR resources, including appointment scheduling and cancellation.

Enables installing, configuring, and running modular MCP servers for biology, bioinformatics, and bioimaging tasks, including local image analysis, ImageJ/Fiji bridging, and LLM-based agent workflows.

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 AI assistants to query, read, download, and move medical imaging data on DICOM servers (PACS, VNA) including patient searches, study retrieval, PDF report extraction, and image transfer to AI endpoints for analysis.