# Qdrant MCP Server

> Qdrant's official MCP server: store and retrieve semantic memories in a Qdrant vector database.

## Facts
- **Category:** [MCP Servers](https://agentsearchengine.app/category/mcp-servers)
- **Type:** MCP server
- **Pricing:** Open source
- **GitHub stars:** 1,537
- **Language:** Python
- **License:** Apache-2.0
- **Last repo activity:** 19 days ago (Sep 4, 2026)
- **Official site:** https://qdrant.tech
- **Source code:** https://github.com/qdrant/mcp-server-qdrant
- **Listing on Agent Search Engine:** https://agentsearchengine.app/agents/qdrant-mcp-server
- **Data verified:** September 2026

## Best for
Giving an assistant long-term semantic memory, or searching a code snippet library, backed by Qdrant.

## About Qdrant MCP Server
Qdrant's official MCP server acts as a semantic memory layer on top of the Qdrant vector search engine, with tools to store information with optional metadata and to find relevant entries by meaning. It runs with uvx or Docker over stdio or SSE, and embeds text with a configurable FastEmbed model.

## Connect to an MCP client
Launch command from the project's README: `QDRANT_URL=http://localhost:6333 COLLECTION_NAME=my-collection uvx mcp-server-qdrant`

### Claude Code (Run in your terminal)

```shell
claude mcp add qdrant-mcp-server -e QDRANT_URL=http://localhost:6333 -e COLLECTION_NAME=my-collection -- uvx mcp-server-qdrant
```

### Cursor (~/.cursor/mcp.json or .cursor/mcp.json)

```json
{
  "mcpServers": {
    "qdrant-mcp-server": {
      "command": "uvx",
      "args": ["mcp-server-qdrant"],
      "env": {
        "QDRANT_URL": "http://localhost:6333",
        "COLLECTION_NAME": "my-collection"
      }
    }
  }
}
```

### VS Code (.vscode/mcp.json)

```json
{
  "servers": {
    "qdrant-mcp-server": {
      "type": "stdio",
      "command": "uvx",
      "args": ["mcp-server-qdrant"],
      "env": {
        "QDRANT_URL": "http://localhost:6333",
        "COLLECTION_NAME": "my-collection"
      }
    }
  }
}
```

### Claude Desktop (claude_desktop_config.json)

```json
{
  "mcpServers": {
    "qdrant-mcp-server": {
      "command": "uvx",
      "args": ["mcp-server-qdrant"],
      "env": {
        "QDRANT_URL": "http://localhost:6333",
        "COLLECTION_NAME": "my-collection"
      }
    }
  }
}
```

### Codex (~/.codex/config.toml)

```toml
[mcp_servers.qdrant-mcp-server]
command = "uvx"
args = ["mcp-server-qdrant"]
env = { QDRANT_URL = "http://localhost:6333", COLLECTION_NAME = "my-collection" }
```

## Alternatives
Qdrant MCP Server sits in mcp servers. Related tools indexed here:
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- [context7](https://agentsearchengine.app/agents/context7) — Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors · Open source · MCP server · 62k★ · TypeScript · MIT · active today
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- [github-mcp-server](https://agentsearchengine.app/agents/github-mcp-server) — GitHub's official MCP Server · Open source · MCP server · 33k★ · Go · MIT · active today
- [serena](https://agentsearchengine.app/agents/serena) — A powerful MCP toolkit for coding, providing semantic retrieval and editing capabilities - the IDE for your agent · Open source · SDK / library · 30k★ · Python · MIT · active today
- [MCP for Blender (blender-mcp)](https://agentsearchengine.app/agents/blender-mcp) — Connect Blender to Claude or any LLM client for prompt-driven 3D modelling and scene editing. · Open source · MCP server · 29k★ · Python · MIT · active 2 days ago
- [fastmcp](https://agentsearchengine.app/agents/fastmcp) — The fast, Pythonic way to build MCP servers and clients. · Open source · SDK / library · 28k★ · Python · Apache-2.0 · active today

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