
gergelyszerovay_mcp server qdrant retrive
Mirror of https://github.com/gergelyszerovay/mcp-server-qdrant-retrive
Repository Info
About This Server
Mirror of https://github.com/gergelyszerovay/mcp-server-qdrant-retrive
Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.
Documentation
# Qdrant Retrieve MCP Server
MCP server for semantic search with Qdrant vector database.
## Features
- Semantic search across multiple collections
- Multi-query support
- Configurable result count
- Collection source tracking
**Note**: The server connects to a Qdrant instance specified by URL.
**Note 2**: The first retrieve might be slower, as the MCP server downloads the required embedding model.
## API
### Tools
- **qdrant_retrieve**
- Retrieves semantically similar documents from multiple Qdrant vector store collections based on multiple queries
- Inputs:
- `collectionNames` (string[]): Names of the Qdrant collections to search across
- `topK` (number): Number of top similar documents to retrieve (default: 3)
- `query` (string[]): Array of query texts to search for
- Returns:
- `results`: Array of retrieved documents with:
- `query`: The query that produced this result
- `collectionName`: Collection name that this result came from
- `text`: Document text content
- `score`: Similarity score between 0 and 1
## Usage with Claude Desktop
Add this to your `claude_desktop_config.json`:
```json
{
"mcpServers": {
"qdrant": {
"command": "npx",
"args": ["-y", "@gergelyszerovay/mcp-server-qdrant-retrive"],
"env": {
"QDRANT_API_KEY": "your_api_key_here"
}
}
}
}
```
## Command Line Options
```
MCP server for semantic search with Qdrant vector database.
Options
--enableHttpTransport Enable HTTP transport [default: false]
--enableStdioTransport Enable stdio transport [default: true]
--enableRestServer Enable REST API server [default: false]
--mcpHttpPort=<port> Port for MCP HTTP server [default: 3001]
--restHttpPort=<port> Port for REST HTTP server [default: 3002]
--qdrantUrl=<url> URL for Qdrant vector database [default: http://localhost:6333]
--embeddingModelType=<type> Type of embedding model to use [default: Xenova/all-MiniLM-L6-v2]
--help Show this help message
Environment Variables
QDRANT_API_KEY API key for authenticated Qdrant instances (optional)
Examples
$ mcp-qdrant --enableHttpTransport
$ mcp-qdrant --mcpHttpPort=3005 --restHttpPort=3006
$ mcp-qdrant --qdrantUrl=http://qdrant.example.com:6333
$ mcp-qdrant --embeddingModelType=Xenova/all-MiniLM-L6-v2
```
Quick Start
Clone the repository
git clone https://github.com/MCP-Mirror/gergelyszerovay_mcp-server-qdrant-retriveInstall dependencies
cd gergelyszerovay_mcp-server-qdrant-retrive
npm installFollow the documentation
Check the repository's README.md file for specific installation and usage instructions.
Repository Details
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