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Search and traverse SNOMED CT concepts and relationships through a graph interface
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "SNOMED GraphRAG MCP Server" yet — see the docs or source repo.
Use graph_search_concept to search for "type 2 diabetes mellitus" and return the best-matching SNOMED CT concept with its ID.
Returns relevant concept names, standard terminology IDs, and a brief note on the best match.
First locate the SNOMED CT concept for "asthma", then use graph_get_related to list related disorders, findings, or parent concepts.
Outputs related nodes and relationship types for the asthma concept to clarify its terminology context.
Search for "hypertension" and "gestational hypertension" and compare their SNOMED CT hierarchy and relationship differences.
Provides a comparison summary of concept IDs, hierarchy positions, and key relationship differences.
Ingest documents into Neo4j to build and query a knowledge graph.
Access GraphRAG research, implementation patterns, and best practices for building RAG systems.
Query a multilingual concept graph to explore semantic relations and word associations.
Query a semantic concept graph for codebase invariants and cross-cutting facts.
Build and explore a neuroscience-inspired knowledge graph for search and reasoning.
Understand codebase meaning and structure through a semantic concept graph.