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py-mcp-qdrant-rag

py-mcp-qdrant-rag

@amornpan2

A Model Context Protocol (MCP) server implementation for RAG (Retrieval-Augmented Generation) using Qdrant vector database with support for both Ollama and OpenAI embeddings.

ragqdrantollamaopenaiembeddingssemantic-searchdocument-processingcontext

Installation & Configuration

{
  "mcpServers": {
    "mcp-rag-qdrant-1.0": {
      "command": "/path/to/conda/envs/mcp-rag-qdrant-1.0/bin/python",
      "args": [
        "/path/to/py-mcp-qdrant-rag/run.py",
        "--mode",
        "mcp"
      ],
      "env": {
        "QDRANT_URL": "http://localhost:6333",
        "EMBEDDING_PROVIDER": "ollama",
        "OLLAMA_URL": "http://localhost:11434"
      }
    }
  }
}

Information

Transport
stdio
Language
Python
Created
2025/5/27
Updated
2026/6/8
Homepage
https://github.com/amornpan/py-mcp-qdrant-rag