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@qdrant-memory/mcp

v0.2.4

Published

Self-hosted agentic memory MCP server backed by Qdrant, inspired by supermemory. Provides semantic memory storage, entity/relation knowledge graph, and optional reranking as MCP tools.

Downloads

193

Readme

@qdrant-memory/mcp

npm Docker Hub GHCR License

Self-hosted agentic memory MCP server backed by Qdrant vector database. Provides semantic memory storage, entity/relation knowledge graph, and optional reranking as MCP tools for AI agents.

Features

  • Semantic Memory — Store and search memories with vector embeddings
  • Knowledge Graph — Entity/relation graph for structured knowledge
  • Local Embeddings — Uses ONNX models (no external API needed)
  • Remote Embeddings — OpenAI-compatible API support
  • Optional Reranking — Cross-encoder reranking for better results
  • HTTP Transport — Run as a server or via stdio
  • Health Checks — Built-in /health and /ready endpoints

Installation

npm install @qdrant-memory/mcp

Quick Start

1. Start Qdrant

docker run -p 6333:6333 qdrant/qdrant

2. Run the server

npx @qdrant-memory/mcp

Or via code:

import { server } from "@qdrant-memory/mcp";

// Start with HTTP transport (default port 26080)
server.run({ transport: "http" });

// Or stdio for Claude Desktop
server.run({ transport: "stdio" });

Configuration

| Variable | Default | Description | |----------|---------|-------------| | QDRANT_URL | http://localhost:6333 | Qdrant server URL | | QDRANT_API_KEY | — | Qdrant API key | | TRANSPORT | http | stdio or http | | PORT | 26080 | HTTP server port | | COLLECTION_PREFIX | memory | Prefix for collection names | | EMBEDDING_URL | — | Remote embedding URL (OpenAI-compatible) | | EMBEDDING_MODEL | — | Model name for remote embedding | | RERANKING_URL | — | Remote reranking URL | | RERANKING_MODEL | — | Model name for reranking |

Local Embeddings

By default, uses Xenova/all-MiniLM-L6-v2 via ONNX — no external service required.

MCP Tools

Memory

  • memory_save — Save a memory
  • memory_search — Search memories by similarity
  • memory_save_batch — Save multiple memories
  • memory_search_batch — Batch search
  • memory_update — Update a memory
  • memory_get — Get a memory by ID
  • memory_forget — Delete memories
  • memory_scroll — List memories with pagination
  • memory_stats — Get memory statistics
  • memory_export / memory_import — Backup/restore

Entities

  • entity_create — Create an entity
  • entity_get — Get entity by name
  • entity_search — Search entities
  • entity_list — List all entities
  • entity_add_observations — Add observations
  • entity_update — Update entity

Relations

  • relation_create — Create a relation
  • relation_search — Search relations
  • relation_list — List relations
  • relation_delete — Delete a relation

Docker

docker run -e QDRANT_URL=http://host.docker.internal:6333 \
           -p 26080:26080 \
           ghcr.io/miniaxolotl/qdrant-memory

Or use docker-compose.yml from the repo for full stack.

License

MIT