MCP Qdrant Memory Server

Example Use Cases

• 1

  Create and manipulate knowledge graphs with semantic search

• 2

  Persistently store and search large sets of entities and relations

• 3

  Integration with Qdrant and OpenAI embeddings for enhanced search capabilities

Description

This MCP server implements a knowledge graph with entities and relations, utilizing Qdrant for semantic search capabilities with OpenAI embeddings. It supports persistence through a file-based system and Qdrant's vector database, enabling fast access and accurate similarity search. Docker and HTTPS support make deployment and integration flexible and secure.