MCP server that searches documents in Qdrant using embeddings from LMStudio. Takes a text query, converts it to a vector via LMStudio's OpenAI-compatible API, and performs semantic search in Qdrant.
Getting started
Add mcp-qdrant-embedding-search to your MCP-capable client — Claude Code, Cursor, Codex, and others — by following the setup at the source, which documents the exact command, configuration, and any required API keys.
