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MCP Qdrant Server with OpenAI Embeddings

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This MCP server provides vector search capabilities using Qdrant vector database and OpenAI embeddings.

Features

  • Semantic search in Qdrant collections using OpenAI embeddings
  • List available collections
  • View collection information

Prerequisites

  • Python 3.10+ installed
  • Qdrant instance (local or remote)
  • OpenAI API key

Installation

Installing via Smithery

To install Qdrant Vector Search Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @amansingh0311/mcp-qdrant-openai --client claude

Manual Installation

  1. Clone this repository:

    git clone https://github.com/yourusername/mcp-qdrant-openai.git
    cd mcp-qdrant-openai
    
  2. Install dependencies:

    pip install -r requirements.txt
    

Configuration

Set the following environment variables:

  • OPENAI_API_KEY: Your OpenAI API key
  • QDRANT_URL: URL to your Qdrant instance (default: "http://localhost:6333")
  • QDRANT_API_KEY: Your Qdrant API key (if applicable)

Usage

Run the server directly

python mcp_qdrant_server.py

Run with MCP CLI

mcp dev mcp_qdrant_server.py

Installing in Claude Desktop

mcp install mcp_qdrant_server.py --name "Qdrant-OpenAI"

Available Tools

query_collection

Search a Qdrant collection using semantic search with OpenAI embeddings.

  • collection_name: Name of the Qdrant collection to search
  • query_text: The search query in natural language
  • limit: Maximum number of results to return (default: 5)
  • model: OpenAI embedding model to use (default: text-embedding-3-small)

list_collections

List all available collections in the Qdrant database.

collection_info

Get information about a specific collection.

  • collection_name: Name of the collection to get information about

Example Usage in Claude Desktop

Once installed in Claude Desktop, you can use the tools like this:

What collections are available in my Qdrant database?

Search for documents about climate change in my "documents" collection.

Show me information about the "articles" collection.

Metadata

Release files for iflow-mcp_amansingh0311-mcp-qdrant-openai 0.1.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for iflow-mcp_amansingh0311-mcp-qdrant-openai 0.1.0
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Built distribution (wheel)

Table of built distributions (wheels) for iflow-mcp_amansingh0311-mcp-qdrant-openai 0.1.0
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iflow_mcp_amansingh0311_mcp_qdrant_openai-0.1.0-py3-none-any.whl Python 3 none any Details

Total release size: 7.5 kB

Release files / iflow_mcp_amansingh0311_mcp_qdrant_openai-0.1.0.tar.gz

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Size 3.1 kB
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Release files / iflow_mcp_amansingh0311_mcp_qdrant_openai-0.1.0-py3-none-any.whl

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Size 4.4 kB
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Uploaded via uv/0.10.0 {"installer":{"name":"uv","version":"0.10.0","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Debian GNU/Linux","version":"13","id":"trixie","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":null}

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0.1.0 This release

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