Qdrant Vector Database
About
Integrates with Qdrant vector database to provide semantic search capabilities for storing and retrieving information using multiple embedding providers, deployable via Docker or locally.
Details
- Author
- jimmy974
- Repository
- Jimmy974/mcp-server-qdrant
- Categories
- Developer Tools, Design, File Management, AI, Search, Knowledge Base, Infrastructure, Database, Frontend
Jump to
- Store text information with optional metadata in Qdrant
- Semantic search for stored information
- FastEmbed integration for text embeddings
- Environment-based configuration
- Docker support
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Qdrant Vector DatabaseCommand (node, npx, python, etc.)npxArguments-
Argument 1
-y -
Argument 2
@highlight/mcp-server
Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
-
Argument 1
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
QDRANT_URL=http://localhost:6333
QDRANT_API_KEY=your-api-key
EMBEDDING_PROVIDER=fastembed
EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2
python -m mcp_server_qdrant.main
Or using the make command:
make run
```
qdrant-store
Stores information in the Qdrant database. Parameters: information (string), metadata (optional JSON)
qdrant-find
Searches for information in the Qdrant database using semantic search. Parameters: query (string)
The MCP server provides the following tools:
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"qdrant vector database": {
"env": {},
"args": [
"-y",
"@highlight/mcp-server"
],
"command": "npx"
}
}
}Linux
{
"env": [],
"args": [
"-y",
"@highlight/mcp-server"
],
"command": "npx"
}Macos
{
"env": [],
"args": [
"-y",
"@highlight/mcp-server"
],
"command": "npx"
}Windows
{
"env": [],
"args": [
"/c",
"npx",
"-y",
"@highlight/mcp-server"
],
"command": "cmd"
}MCP Server for Qdrant
A Machine Control Protocol (MCP) server for storing and retrieving information from a Qdrant vector database.
Features
- Store text information with optional metadata in Qdrant
- Semantic search for stored information
- FastEmbed integration for text embeddings
- Environment-based configuration
- Docker support
Installation
Using pip
pip install mcp-server-qdrant
From source
git clone https://github.com/your-org/mcp-server-qdrant.git
cd mcp-server-qdrant
make setup
Configuration
Configuration is done through environment variables. You can create a .env file based on the .env.example file:
cp .env.example .env
Edit the .env file to configure the server:
# Qdrant configuration
QDRANT_URL=http://localhost:6333
QDRANT_API_KEY=your-api-key
Collection name
COLLECTION_NAME=memories
Embedding provider configuration
EMBEDDING_PROVIDER=fastembed
EMBEDDING_MODEL=sentence-transformers/all-MiniLM-L6-v2
Usage
Running locally
python -m mcp_server_qdrant.main
Or using the make command:
make run
Docker
docker-compose up
Tools
The MCP server provides the following tools:
qdrant-store
Stores information in the Qdrant database.
```
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