What is Qdrant MCP — Vector Search Engine for AI Agents?

MCP server for Qdrant vector database. Gives AI agents the power to store and search embeddings for RAG, semantic search, and recommendation systems. 22,000+ stars on Qdrant.

Is Qdrant MCP — Vector Search Engine for AI Agents free to use?

Yes. Qdrant MCP — Vector Search Engine for AI Agents is freely available on TokRepo. Check the Source & Thanks section on the asset page for the specific open-source license.

How do I install Qdrant MCP — Vector Search Engine for AI Agents?

Visit the asset page on TokRepo and click "Copy for agent" to get the installation instructions. Most assets can be installed with a single command.

Qdrant MCP — Vector Search Engine for AI Agents

Quick Use

Add the following to .mcp.json:

{
  "mcpServers": {
    "qdrant": {
      "command": "npx",
      "args": ["-y", "@qdrant/mcp-server"],
      "env": {
        "QDRANT_URL": "http://localhost:6333"
      }
    }
  }
}

Start Qdrant: docker run -p 6333:6333 qdrant/qdrant

Intro

Qdrant MCP is the MCP server for the Qdrant vector database, letting AI agents like Claude Code store and search vector embeddings for RAG pipelines, semantic search, and knowledge management. The main project has 22,000+ GitHub stars. Ideal for building AI apps that need persistent semantic memory.

Source & Thanks

Created by Qdrant. Licensed under Apache 2.0.

qdrant — ⭐ 22,000+

Qdrant MCP — Vector Search Engine for AI Agents

Quick Use

Intro

Source & Thanks

来源与感谢

讨论