Qdrant MCP Server
About
# Qdrant MCP Server An MCP server for interacting with [Qdrant](https://qdrant.tech/) vector database. This server provides tools for managing vectors, performing similarity searches, and automatic text-to-vector embedding using the MCP (Master Control Program) framework. ## Features - Automatic text-to-vector…
Explore
- Automatic text-to-vector embedding using FastEmbed
- Store and retrieve text content with vector search
- Use default collection configuration through environment variables
- Text similarity search by content
- Efficient embedding with optimized models
Create a .env file based on the .env.example template:
1. Install the package:
pip install -e .
2. Run the server:
qdrant-mcp-server
1. Build the Docker image:
docker build -t qdrant-mcp-server .
2. Run the container:
docker run -p 8000:8000 --env QDRANT_HOST=<your-qdrant-host> --env QDRANT_PORT=<your-qdrant-port> --env QDRANT_VERIFY_SSL=<True|False> qdrant-mcp-server
```The server provides the following tools:
An MCP server for interacting with Qdrant vector database. This server provides tools for managing vectors, performing similarity searches, and automatic text-to-vector embedding using the MCP (Master Control Program) framework.
Features
- Automatic text-to-vector embedding using FastEmbed
- Store and retrieve text content with vector search
- Use default collection configuration through environment variables
- Text similarity search by content
- Efficient embedding with optimized models
Configuration
Create a .env file based on the .env.example template:
```
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