Qdrant Knowledge Graph
Summary
This MCP server, developed by Jarad DeLorenzo, provides a knowledge graph implementation with semantic search capabilities powered by Qdrant vector database. Built with TypeScript and leveraging the Model Context Protocol SDK, it offers tools for managing entities, relations, and observations in a graph structure. The implementation focuses on efficient storage and retrieval, using both file-based persistence and Qdrant for vector search. It's particularly useful for applications requiring structured knowledge representation with semantic querying, enabling use cases such as intelligent information retrieval, relationship analysis, and context-aware AI interactions without directly dealing with complex graph database operations.
Available Actions(8)
create_entities
Create multiple new entities
create_relations
Create relations between entities
add_observations
Add observations to entities
delete_entities
Delete entities and their relations
delete_observations
Delete specific observations
delete_relations
Delete specific relations
read_graph
Get the full knowledge graph
search_similar
Search for semantically similar entities and relations. Parameters: query (string), limit (optional number, default: 10)
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