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.

information: The text to store
metadata: Optional JSON metadata to associate with the text

qdrant-find

Searches for information in the Qdrant database using semantic search.

query: The search query

Development

Testing

make test

Formatting

make format

Linting

make lint

Building

make build

License

Apache License 2.0

This server cannot be installed

security - not tested

license - not found

quality - not tested

How are these scores calculated?

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

A Machine Control Protocol (MCP) server that enables storing and retrieving information from a Qdrant vector database with semantic search capabilities.

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