mcp-server-qdrant
Qdrant MCP server for semantic memory storage and retrieval. mcp-server-qdrant is a Model Context Protocol (MCP) server maintained by qdrant. It connects to MCP-compatible clients such as Claude Desktop, Cursor, Cline, and other agents that speak the protocol. It exposes 2 tools, including qdrant-store and qdrant-find, that an agent can call directly. It is categorized under Tool/Qdrant, AI/Memory and AI/RAG.
What is this MCP
This is a Model Context Protocol server for Qdrant, a vector search engine. It provides a semantic memory layer for LLM applications, enabling storage and retrieval of vectorized information with metadata.
How to use this MCP
The server can be run via UVX, Docker, or directly in VS Code. Configure using environment variables (QDRANT_URL, COLLECTION_NAME, etc.) and connect it to MCP-compatible clients like Claude, Cursor, or VS Code for semantic search capabilities.
What this MCP can be used for
- Building AI-powered semantic memory systems
- Enhancing LLMs with contextual retrieval capabilities
- Creating specialized code search tools for development environments
AIMCP authority
DR and traffic signal for the AIMCP public domain.
Frequently asked questions
What is the mcp-server-qdrant MCP server?
mcp-server-qdrant is a Model Context Protocol server from qdrant. It lets MCP-compatible AI clients call its tools over a standard interface, so agents like Claude, Cursor, and Cline can use it without custom integration.
How do I connect mcp-server-qdrant to my AI client?
Add mcp-server-qdrant to your client's MCP configuration using the stdio or SSE connection shown in the usage examples on this page, then restart the client to load the server.
What tools does mcp-server-qdrant provide?
mcp-server-qdrant provides 2 tools: qdrant-store and qdrant-find.
Is mcp-server-qdrant free to use?
mcp-server-qdrant is listed on AIMCP for free. Any API keys or accounts required by the underlying service are set by its provider.
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