Qdrant MCP Server
Description
# 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. ##…
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…
Details
- Author
- Jimmy974
- GitHub stars
- 1
- Downloads
- 278
- Categories
- Database
Jump to
- 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
Configure a .env file with Qdrant connection settings and default collection parameters. Install the package with pip install -e . and run the server with the command qdrant-mcp-server. Alternatively, build and run a Docker container using docker build -t qdrant-mcp-server . and docker run with appropriate environment variables.
Qdrant MCP Server
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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