"Deep Think: Exploring Deep Thinking Concepts" matching MCP servers:

Enables LLMs to retrieve segment, field, message-structure, and code-table details; parse pipe-delimited messages; and validate messages with deep profiles for ORM^O01, ADT^A08/A31/A40, and ORU^R01.

Annotate variants by with a deep and rich set of data. Can annotate: genetic change, rsID, CAid, HGVS (g./c./p.), protein change.

Exposes NCBI PubMed as MCP tools for searching literature, fetching abstracts, exploring citation graphs, and finding author publications without requiring an API key.

Provides AI agents with instant access to 10M+ OMOP medical vocabulary concepts for searching, mapping, and navigating clinical codes across SNOMED, ICD-10, RxNorm, LOINC, and more.

A production-ready Model Context Protocol (MCP) server that provides comprehensive access to the BioOntology API for searching, annotating, and exploring over 1,200 biological ontologies.

MCP server for mapping clinical terminology to OMOP concepts using LLMs, with vocabulary search and batch processing capabilities.

GraphRAG MCP server for querying SNOM CT medical terminology via Neo4j, offering graph_search_concept and graph_get_related tools to search and traverse concepts and relationships.

Enables searching and exploring 340 million academic papers from 15+ databases with semantic search, citation graphs, and knowledge graph connections for biomedical entities.

Enables molecular generation, optimization, and analysis through NVIDIA MolMIM API. Supports generating drug-like molecules with desired properties, extracting molecular embeddings, and exploring chemical space around seed molecules.

Enables deep probabilistic analysis of single-cell omics data using scvi-tools through natural language. Supports SCVI for scRNA-seq analysis, SCANVI for cell type annotation, TOTALVI for multi-modal RNA/protein data, and PEAKVI for scATAC-seq analysis.

Enables AI assistants to search, access, and analyze PubMed articles through MCP, providing tools for keyword and advanced search, article metadata retrieval, full-text PDF download, and deep paper analysis.

An MCP server that provides access to the NIH UMLS API and the NIH VSAC FHIR API. This server enables AI models to search medical terminology, look up concept definitions, explore relationships between medical concepts, map codes between different medical coding systems, and work with curated clinical value sets.

Enables querying and exploring PhysioNet biomedical datasets via BigQuery, with tools to list accessible datasets, view schemas, inspect tables, and run SQL queries.

PubCrawl provides LLMs with access to PubMed, FDA/UK drug labeling, and ClinicalTrials.gov. It enables searching literature, retrieving abstracts and full texts, comparing US and UK drug labels, and exploring clinical trials.

Enables users to query standardized drug concepts from the National Library of Medicine's RxNorm, including name-based search, drug property retrieval, and related concept exploration via the RxNav REST API.

Enables querying and browsing SNOMED CT medical terminology concepts, including search, details, and hierarchy navigation via MCP tools.

Enables LLMs and AI agents to search a biomedical knowledge graph for concepts and study variables, traverse semantic relationships, and look up BioData Catalyst PIC-SURE paths for cohort building.

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.

Enables exploring a synthetic electronic health record via natural language, including patient demographics, encounters, notes, and medications, with optional write support for adding synthetic progress notes.

Enables AI agents to search and analyze clinical trial data from ClinicalTrials.gov using both structured SQL queries for filtering trials by status, phase, and conditions, and semantic vector search for exploring detailed protocol information like exclusion criteria.