{"slug":"steiner385/qdrant-mcp-server","name":"Qdrant MCP Server","description":"Semantic code search using the Qdrant vector database and OpenAI embeddings.","category":"search","tags":[],"official":false,"stars":2,"transport":null,"install":[{"cmd":"pip install qdrant-mcp-server","imports":[]}],"tools":[{"name":"semantic_code_search","description":"Find code by meaning, not just keywords using semantic search"},{"name":"index_codebase","description":"Index entire codebase or specific files for semantic search"},{"name":"background_indexer","description":"Start, stop, or check status of background file monitoring and reindexing"},{"name":"search_code","description":"Search indexed code using natural language queries"}],"env_vars":["OPENAI_API_KEY","QDRANT_URL","QDRANT_API_KEY"],"auth_type":"none","github":"https://github.com/steiner385/qdrant-mcp-server","homepage":"","server_url":"","status":"active","source":"mcpservers.org","updated_at":"Thu May 28"}