Knowledge Management · Search Tools

MCP Qdrant Memory logo

MCP Qdrant Memory

delorenj/mcp-qdrant-memory

This MCP server provides a knowledge graph implementation with semantic search capabilities powered by Qdrant vector database.

Install

docker run -d \

Client configuration

{
  "mcpServers": {
    "memory": {
      "command": "/bin/zsh",
      "args": [
        "-c",
        "cd /path/to/server && node dist/index.js"
      ],
      "env": {
        "OPENAI_API_KEY": "<OPENAI_API_KEY>",
        "QDRANT_API_KEY": "<QDRANT_API_KEY>",
        "QDRANT_URL": "<QDRANT_URL>",
        "QDRANT_COLLECTION_NAME": "<QDRANT_COLLECTION_NAME>"
      }
    }
  }
}

Environment variables

OPENAI_API_KEYQDRANT_API_KEYQDRANT_URLQDRANT_COLLECTION_NAME
GitHub stars
9
Author
@delorenj
Category
Knowledge Management, Search Tools
License
MIT
Updated
Oct 6, 2026

Features

  • Graph-based knowledge representation with entities and relations

  • File-based persistence (memory.json)

  • Semantic search using Qdrant vector database

  • OpenAI embeddings for semantic similarity

  • HTTPS support with reverse proxy compatibility

  • Docker support for easy deployment

Tools (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

Details on this page are taken from the project's README. Open README

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