Better Qdrant MCP Server
A Model Context Protocol (MCP) server for enhanced Qdrant vector database functionality. This server provides tools for managing Qdrant collections, adding documents, and performing semantic searches.
Features
- List Collections: View all available Qdrant collections
- Add Documents: Process and add documents to a Qdrant collection with various embedding services
- Search: Perform semantic searches across your vector database
- Delete Collection: Remove collections from your Qdrant database
Installation
Or use it directly with npx:
Configuration
The server uses environment variables for configuration. You can set these in a .env
file in your project root:
Supported Embedding Services
- OpenAI: Requires an API key
- OpenRouter: Requires an API key
- Ollama: Local embedding models (default endpoint: http://localhost:11434)
- FastEmbed: Local embedding models
Usage with Claude
To use this MCP server with Claude, add it to your MCP settings configuration file:
Example Commands
List Collections
Add Documents
Search
Delete Collection
Requirements
- Node.js >= 18.0.0
- A running Qdrant server (local or remote)
- API keys for the embedding services you want to use
License
MIT
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
Qdrant ベクター データベース コレクションを管理し、さまざまな埋め込みサービスを使用してドキュメントを処理および埋め込み、ベクター埋め込み全体でセマンティック検索を実行するツールを提供することで、セマンティック検索機能を有効にするモデル コンテキスト プロトコル サーバー。
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