mcp-server-qdrant
MCP server for Qdrant vector database. mcp-server-qdrant is a Model Context Protocol (MCP) server maintained by Jimmy974. 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 and AI/VectorDB.
What is this MCP
This is a Machine Control Protocol (MCP) server designed for storing and retrieving information from a Qdrant vector database, enabling semantic search capabilities.
How to use this MCP
The server can be installed via pip or from source, configured through environment variables, and run locally or via Docker. It provides tools for storing information (qdrant-store) and searching (qdrant-find).
What this MCP can be used for
This MCP server is useful for building AI applications that require semantic search capabilities, such as RAG systems, knowledge bases, or memory systems for AI agents.
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 Jimmy974. 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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