"Google Earth Engine" matching MCP servers:

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 a 3D full-body anatomy and biomechanics engine with 22 MCP tools for querying anatomical structures, connections, and clinical information, plus an interactive 3D viewer.

Self-hosted MCP server that provides read-only access to Google Health API v4, enabling analysis of personal health data via OpenAI Responses API or ChatGPT.

Enables AI agents to analyze synthetic biomarker panels via Phi Longevity's PRISM clinical recommendation engine, providing tiered, guideline-cited recommendations. Also offers tools to list supported biomarkers and retrieve methodology.

Exposes NeuroGraph's scientific API to AI models as MCP tools, enabling them to query, analyze, and visualize brain networks — regions, tracts, connectivity, literature, and cross-species homologies — drawn from a portable SSD-based neuroimaging data library. Lets models read real atlas data, load datasets, compute graph metrics, and produce visualization scene descriptors without acting as the scientific engine itself.

A stateless, deterministic Bio-Robotics Core Engine converting biological data (UniProt API) to G-code.

Enables AI-powered genomic variant analysis including variant impact prediction, regulatory element discovery, and batch variant scoring. Currently operates in mock mode as a proof-of-concept awaiting the public release of Google DeepMind's AlphaGenome API.

AI-powered medical document management for cancer patients and caregivers. Connects Google Drive, Gmail, and Calendar to Claude, ChatGPT, and any MCP client.

Enables access to a synthetic hospital dataset through MCP, supporting SSE and STDIO transports, deployable to IBM Cloud Code Engine.

Viznoir empowers AI agents to directly analyze and visualize complex 3D scientific and engineering data in cinematic resolution using a fully headless VTK engine. It enables LLMs to seamlessly execute advanced physical analysis, 3D rendering, and generate publication-ready animations purely through natural language commands.

An MCP server that provides comprehensive medical information by querying multiple authoritative medical APIs including FDA, WHO, PubMed, Google Scholar, and RxNorm.

Enables AI assistants to query and control a bio-hybrid neuromorphic simulation pipeline, including SNN engine, consciousness proxies, and neuroplatform telemetry, via the Model Context Protocol.

Enables AI assistants to interact with a bio-hybrid neuromorphic simulation pipeline, including a layered SNN engine, consciousness proxy metrics, NeuroPlatform wetware bridge, and ethics monitoring via 62 MCP tools, resources, and prompts.

This MCP server provides authoritative medical data from FDA, WHO, PubMed, RxNorm, and Google Scholar, enabling drug information lookup, health statistics retrieval, medical literature searching, and clinical guidelines access directly in AI workflows.

Enables AI clients to query authoritative medical APIs for drug information, health statistics, clinical guidelines, trials, and literature from sources such as FDA, WHO, PubMed, RxNorm, and Google Scholar, running locally without API keys.

Enables AI agents to simulate wastewater treatment processes using natural language, with dual MCP and CLI adapters for flexible integration.

Enables AI clients to search authoritative drug, health statistics, medical literature, clinical guideline, clinical trial, and pediatric sources such as FDA, WHO, PubMed, RxNorm, and Google Scholar, with local privacy and no API keys.

Enables AI assistants and MCP clients to query authoritative medical APIs for drug information, health statistics, medical literature, clinical guidelines, clinical trials, and pediatric resources. Runs locally without API keys, providing private access to sources such as FDA, WHO, PubMed, RxNorm, and Google Scholar.

Provides MCP tools to list valid appointment slots, schedule, reschedule, and cancel appointments under a clinic's business policy (hours, buffers, minimum notice, practitioner availability).

Enables an older adult to talk with Alexa+ about medicines and daily routine while a caregiver sees a calm, consent-gated dashboard and push alerts only when a genuine pattern (e.g. an unusually late first activity) appears. Includes elicitation-based consent, emergency bypass, resumable SSE streams, and an inline MCP App view.

Enables AI assistants to query authoritative sources like FDA, WHO, PubMed, RxNorm, and Google Scholar for drug information, health statistics, clinical guidelines, trials, and medical literature. It runs locally with no API keys, so data stays private while results come back with evidence grading and resilient fallbacks.

Provides AI agents with access to PhaseFolio's biotech rNPV and probability-of-success engine for asset valuation, supporting public queries and authenticated project management.

Enables AI agents to run SQL analytics against healthcare claims through a de-identified mart, with privacy enforced inside the database engine — small-cell suppression, read-only authorization, resource budgets, and a tamper-evident audit log — so agents can answer questions about denial rates and costs without ever touching PHI.

Provides comprehensive medical information by querying authoritative sources including FDA drug database, WHO health statistics, PubMed literature, RxNorm nomenclature, Google Scholar, and Australia's PBS API through 22+ specialized tools.

Exposes the Redix AnyToAny healthcare data conversion engine to AI agents, enabling conversion between X12, FHIR, HL7 v2, CDA, and other formats via the Model Context Protocol.

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.

A local-first, family-scale medical record framework that provides a Python CLI engine and MCP server for ingesting, deduplicating, querying, and generating medical records from source documents.