"Discover" matching MCP servers:

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.

Enables LLMs to discover, understand, and generate Teal R Shiny applications for clinical trial data analysis.

SuperGlookoQuery is a Claude Desktop extension (MCPB) that connects to Glooko diabetes device data and exposes it as clinical analysis tools (time in range, GMI, trends, enriched bolus/basal analysis, charting), for any pump/CGM combination Glooko supports rather than one fixed device. It's a fork of Richard Hall's podquery-mcp, reworked to discover each account's own data shape rather than assumi

Enables agents to search a public PubMed-derived corpus by natural language or identifiers and to retrieve publication details while traversing bounded citation and semantic literature graphs.

Exposes configured SiLA 2 servers as MCP tools so clients can discover their features, read properties, and invoke commands (including observable ones) without writing a client script per instrument. Server features are discovered dynamically, and results are returned as JSON with SiLA error details on failure.

Upload your raw DNA file from 23andMe, AncestryDNA, MyHeritage, FamilyTreeDNA, or any VCF -- and watch a team of AI agents fan out across 16+ public genomics databases, share discoveries with each other in real time, and produce a comprehensive health report. Everything runs on your machine. Nothing is uploaded anywhere.

Enables MCP clients to discover and call typed tools for protein backbone design, sequence design, complex folding, and binder design via BioNeMo NIMs, with a deterministic simulator by default and optional live routing.

Enables AI agents to discover, risk-assess, request, and track actions on validated BioPharma systems (LIMS, MES, QMS, ELN) without bypassing the validated state, routing each request through GAMP 5 risk classification, ALCOA+ checks, approval workflows, and 21 CFR Part 11 e-signatures. Agents can also retrieve signed, verifiable execution records and audit evidence for the actions they perform.

Enables AI clients to connect to Galaxy instances, inspect histories and reports, discover tools and workflows, submit analyses, and monitor their results via interactive cards.

Provides programmatic access to curated SNP data by trait, enabling LLM-powered applications to search, interpret, and discover genetic variants.

MCP server for accessing the LungMAP API, enabling AI assistants to discover and analyze lung research data such as datasets, samples, and analysis results.

Enables MCP clients to discover and invoke domain-specialized tools for humanitarian emergency response, public health, research synthesis, grant proposals, human rights monitoring, maternal health, and SOP synthesis. It supports JSON-RPC 2.0 over Streamable HTTP for structured, privacy-conscious field outputs and voice-friendly summaries.

Enables users to search ClinicalTrials.gov studies, retrieve full study records and posted results, discover valid fields and values, and match patient profiles to candidate recruiting trials through MCP over STDIO or Streamable HTTP.

Enables AI assistants to automatically discover and control supported laboratory instruments over USB, LAN, and serial connections, including power-supply output, setpoint, and protection management plus multimeter measurements.

Discover and query CDC public health datasets via the Socrata SODA API. Provides tools for dataset discovery, schema inspection, and SoQL queries, plus resources and a guided prompt for health trend analysis.

Enables AI agents to discover, configure, measure, and operate simulated lab instruments (microscope, oscilloscope, robot arm, liquid handler and reader) through a single tool layer. Requests are validated before dispatch, confirmed against the instrument's own readback, and qualified with units, age, calibration, uncertainty, and quality flags, so mismatches, stale data, and partial effects are reported instead of silently retried.

Enables AI agents to discover a configured FHIR R4 endpoint, search and page within a single trusted patient, read exact resources, and inspect retained results as FHIR-shaped JSON with provenance, coverage signals, and byte limits.

Exposes MCP tools to discover and operate simulated lab devices such as incubators and centrifuges, with read/write access, safety-limit enforcement, and interlock logic.