Py MCP Qdrant RAG
Enables semantic search and retrieval-augmented generation (RAG) using Qdrant vector database. Supports indexing documents from URLs and local directories, with flexible embedding options using Ollama or OpenAI.
What is Py MCP Qdrant RAG?
Py MCP Qdrant RAG is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to enables semantic search and retrieval-augmented generation (rag) using qdrant vector database. supports indexing documents from urls and local directories, with flexible embedding options using ollama...
Enables semantic search and retrieval-augmented generation (RAG) using Qdrant vector database. Supports indexing documents from URLs and local directories, with flexible embedding options using Ollama or OpenAI.
This server falls under the Data Science & ML category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Enables semantic search and retrieval-augmented generation (
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx py-mcp-qdrant-ragConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about Py MCP Qdrant RAG
What is Py MCP Qdrant RAG?
Py MCP Qdrant RAG is a Model Context Protocol (MCP) server that enables semantic search and retrieval-augmented generation (rag) using qdrant vector database. supports indexing documents from urls and local directories, with flexible embedding options using ollama or openai. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Py MCP Qdrant RAG?
Follow the installation instructions on the Py MCP Qdrant RAG GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Py MCP Qdrant RAG?
Py MCP Qdrant RAG works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Py MCP Qdrant RAG free to use?
Yes, Py MCP Qdrant RAG is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
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Set Up Py MCP Qdrant RAG in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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