"semantic-release" matching MCP servers:

Enables semantic querying of pediatric motor assessment data and controlled clinical data loading through MCP, preserving methodological context and protocol versions.

Enables semantic retrieval and assembly of ICD-10-CM value sets from natural language descriptions for clinical cohort definitions.

Enables AI assistants to search ImmPort immunology studies and subjects, read study data and assay results, look up controlled vocabularies and the data model, and find study files. Supports study comparison, release history lookups, and guided workflows for cross-study analysis.

Taiwan's first public Model Context Protocol server for National Health Insurance data — rejection codes, ICD-10 mappings, audit indicators, semantic wiki search. Powered by OPDSTAR.

Enables validation of clinical notes in SOAP format, checking required fields and semantic coherence using a local LLM, all processed locally with no data leaving the machine.

Enables LLM-based agents to interact with FHIR healthcare data through natural language prompts, providing full CRUD operations on FHIR resources, document processing, and semantic search capabilities.

Enables any MCP client to ask what a medical procedure costs at three Chicago hospitals and get back rows cited to each hospital's own published price file and provider registry data. Tools stay read-only and typed, returning provenance such as source file, SHA-256, effective date, and release tag with every result.

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.

MCP server for FHIR interoperability, enabling natural language querying and manipulation of clinical data with full CRUD operations, semantic search, and RAG capabilities.

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.

Provides fast lexical and optional semantic search over NiiVue neuroimaging visualization library documentation and API reference. Enables LLMs to query guides, retrieve API documentation from TypeScript source, and access structured information through cached BM25 and embedding-based search.

Enables querying the LitCoin knowledge graph for nodes, edges, and relationships, with support for semantic similarity search over nodes and edges via MCP.

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

Provides MCP tools for edge-based pharmaceutical shipment disposition decisions, returning release, review, or quarantine outcomes while recording every decision in a tamper-evident, hash-chained audit trail.

Enables users to search and retrieve 3D cryo-EM and electron-tomography density maps by keyword or entry ID, returning details such as resolution, structure-determination method, sample, and release date.

Provides dataset statistics and release metadata for MyDisease.info, enabling users to query disease-related data through natural language via the Pipeworx gateway.

Connects AI assistants to LabArchives electronic lab notebooks, enabling querying, semantic search, page navigation, and file uploads with provenance tracking.

Enables searching EBI BioStudies, a keyless database of biological study descriptions, by keyword and retrieving full metadata for a single study by accession, including title, abstract, release date, and link counts. Results tie studies across EBI archives such as ArrayExpress and PRIDE, so agents can locate and inspect study records without authentication.

Enables LLM-based agents and MCP clients such as Claude Desktop to interact with a FHIR-compliant backend, performing full CRUD operations on clinical resources through natural-language prompts. It also supports AI-powered document ingestion, semantic search over processed documents, LOINC terminology lookup, and synthetic FHIR test data generation.

Unified MCP server for the AmorSaúde ecosystem, combining SQL query, semantic search, medical record similarity, audio transcription, and LLM-as-Judge evaluation tools for multiple healthcare agents.

Enables LLM-based agents and MCP-compatible clients to perform full CRUD operations on FHIR resources, plus AI-powered document ingestion, semantic search, and LOINC terminology lookup. Users can query and manipulate clinical data using natural-language prompts.

Enables LLM-based agents to perform full CRUD operations on FHIR resources, process clinical documents, and use semantic search through MCP-compatible clients using natural-language prompts.

Enables LLM-based agents and MCP-compatible clients to perform full CRUD operations on FHIR resources, query and manipulate clinical data via natural-language prompts, and support document processing, semantic search, and LOINC terminology lookup through a standardized interface.

Enables LLM-based agents and MCP-compatible clients to interact with FHIR-compliant backends through full CRUD operations, document ingestion, semantic search, and LOINC terminology lookup. It supports natural-language querying and manipulation of clinical data.

Enables LLM-based agents and MCP-compatible clients to query and manipulate clinical data on a FHIR-compliant backend through natural-language prompts, including CRUD operations, document ingestion, semantic search, and LOINC terminology lookup.

Enables LLM-based agents and MCP-compatible clients to query and manipulate clinical data through a FHIR-compliant backend, including CRUD operations on resources, document ingestion and semantic search, and terminology lookup via natural-language prompts.

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.

Enables LLM-based agents to interact with FHIR-compliant backends through MCP-compatible clients, performing full CRUD operations on clinical resources via natural-language prompts. It also supports document ingestion, semantic search with Pinecone embeddings, LOINC terminology lookup, and OAuth2-secured FHIR API access.

A RAG-based MCP server for natural language querying of Brazilian healthcare manuals (SIH/SUS, SIA/SUS) and official ordinances. It provides 16 tools for semantic search, regulatory critique analysis, and retrieving data from SIGTAP and CNES.

Enables LLM-based agents and MCP-compatible clients to interact with FHIR-compliant backends through natural-language prompts, supporting CRUD operations, clinical data queries, document ingestion, semantic search, and LOINC terminology lookup. It also provides secure authentication and RAG-ready document retrieval.