Qdrant MCP Server

Name: Qdrant MCP Server
Availability: InStock
Author: qdrant

Supports UI

by qdrant

Semantic memory layer for LLMs using Qdrant vector search engine for efficient information storage and retrieval.

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Works in:CursorWindsurf

Exposes:Tools

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What it does\nConnects LLMs to Qdrant, a high-performance vector database, enabling the AI to maintain a persistent semantic memory layer. This allows agents to store complex information and retrieve it later using natural language queries.\n\n## Tools\n- `qdrant-store`: Stores information and optional metadata into a specified Qdrant collection.\n- `qdrant-find`: Performs semantic searches to retrieve relevant information from the Qdrant database.\n\n## Installation\nAdd the following to your `claude_desktop_config.json`:\n\n`json\n{\n "qdrant": {\n "command": "uvx",\n "args": ["mcp-server-qdrant"],\n "env": {\n "QDRANT_URL": "https://your-qdrant-url:6333",\n "QDRANT_API_KEY": "your_api_key",\n "COLLECTION_NAME": "your-collection-name",\n "EMBEDDING_MODEL": "sentence-transformers/all-MiniLM-L6-v2"\n }\n }\n}\n`\n\n## Supported hosts\nClaude Desktop, Cursor, Windsurf, Claude Code, VS Code

Quick install

uvx mcp-server-qdrant

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Pricing: free
Published: 4/15/2026
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Choose your AI client and follow the steps below.

Cursor

Configure via SSE transport at http://localhost:8000/sse

Windsurf

Configure via SSE transport at http://localhost:8000/sse

Claude Desktop

{\n  "qdrant": {\n    "command": "uvx",\n    "args": ["mcp-server-qdrant"],\n    "env": {\n      "QDRANT_URL": "https://your-qdrant-url:6333",\n      "QDRANT_API_KEY": "your_api_key",\n      "COLLECTION_NAME": "your-collection-name",\n      "EMBEDDING_MODEL": "sentence-transformers/all-MiniLM-L6-v2"\n    }\n  }\n}

Qdrant MCP Server

Quick install

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