Better Qdrant MCP Server
@wrediam
Better Qdrant MCP Server について
概要はまだありません
基本情報
設定
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"better-qdrant-mcp-server": {
"command": "npx",
"args": [
"better-qdrant-mcp-server"
]
}
}
}ツール
ツールは検出されませんでした
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
概要
What is Better Qdrant MCP Server?
A Model Context Protocol (MCP) server for enhanced Qdrant vector database functionality. It provides tools for managing Qdrant collections, adding documents, and performing semantic searches.
How to use Better Qdrant MCP Server?
Install via npm install -g better-qdrant-mcp-server or run with npx better-qdrant-mcp-server. Configure environment variables (Qdrant URL/keys, embedding service API keys) in a .env file or in your MCP settings for Claude. Use tools like list_collections, add_documents, search, and delete_collection via MCP client.
Key features of Better Qdrant MCP Server
- List all available Qdrant collections
- Add documents with multiple embedding services
- Perform semantic semantic searches across collections
- Delete collections from the database
Use cases of Better Qdrant MCP Server
- Manage and organize vector database collections
- Ingest documents with configurable chunking and embedding
- Run semantic search queries on stored vectors
- Clean up unused collections
FAQ from Better Qdrant MCP Server
What embedding services are supported?
OpenAI, OpenRouter, Ollama (local, default endpoint http://localhost:11434), and FastEmbed (local models).
What are the system requirements?
Node.js >= 18.0.0, a running Qdrant server (local or remote), and API keys for the embedding services you intend to use.
How do I configure the server?
Set environment variables in a .env file or directly in the MCP client configuration. Required: QDRANT_URL and any embedding service API keys. Optional: QDRANT_API_KEY, DEFAULT_EMBEDDING_SERVICE.
How can I use the server with Claude?
Add the server to your MCP settings JSON with "command": "npx", "args": ["better-qdrant-mcp-server"] and specify env values for Qdrant and embedding services.
Can I use local embedding models?
Yes. Ollama (default endpoint http://localhost:11434, model e.g. nomic-embed-text) and FastEmbed are supported for local embeddings.
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