MCP server that provides local, de-identified access to a demo EMR database using a private LLM for de-identification, ensuring raw patient data stays local.
Enables AI agents to rank US healthcare organizations for clinical trial site feasibility, predicting patient accrual for a Graves' disease protocol using claims and registry data.
Search Vascue's public healthcare-operations documentation: AI front desk for clinics, provider-side insurance claims automation, Cliniko integration, security. Public content only.
Enables querying Chinese medical information (drugs, diseases, doctors, symptoms) from the Dayi platform with structured output and auto-type detection.
Enables agents to search six clinical-trial channels (global registries, Chinese registries, CDE drug-trial data, and offline snapshots) through one sealed endpoint, merging results only on confirmed registration identity and returning per-source terminal states, coverage caveats, and data cutoffs. This ensures a missing or empty answer can never be silently mistaken for proof that no trial exists.
A clean-room SHARP-on-MCP compliant FHIR R4 MCP server that enables AI agents to interact with any FHIR R4 endpoint using SHARP context headers, without server-side OAuth. It provides clinical tools, lab results, imaging, and interactive MCP-UI dashboards.
Enables AI assistants to read COVID-19 lateral flow test results from photographs by calling a deployed computer-vision pipeline, returning verdicts like positive or negative with confidence.
Enables LLM agents to query de-identified FHIR-shaped hospital data through audited, read-only tools for patients, encounters, conditions, observations, medications, and interaction checks, while any medication write stays a draft that a clinician must confirm out-of-band.
Enables diabetes management by retrieving real-time glucose readings from Dexcom continuous glucose monitors and searching for carbohydrate content of foods to help make informed dietary decisions.
A Model Content Protocol server that provides enhanced tools to search and retrieve academic papers from PubMed, with features including MeSH term lookup, publication count statistics, and PICO-based evidence search.
Enables genomic sequence analysis through the Evo 2 model, supporting DNA sequence scoring, embedding, generation, and variant effect prediction with multiple model checkpoints (7B, 40B, 1B parameters).
An open source biomedical research agent that provides LLMs with 28 tools for drug discovery, protein analysis, literature search, medical imaging, omics, and sandbox execution, all running locally via Ollama and MedGemma.
Provides seamless access to over 35 million PubMed scientific articles through natural language queries for research discovery and analysis. It enables tools for advanced searches, retrieving article details, and exploring related research within the life sciences and biomedical fields.
Explains why two scientific papers disagree. A contradiction explorer for bench scientists that compares two studies' designs and grounds every claim in a verbatim quote from the source text.
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.
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.