What embedding services are supported?
OpenAI, OpenRouter, Ollama (local, default endpoint http://localhost:11434), and FastEmbed (local models).
@wrediam
基本情報
概要はまだありません
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"
]
}
}
}List all available Qdrant collections
Add documents to a Qdrant collection with specified embedding service
Search for similar documents in a collection
Delete a Qdrant collection
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.
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.
OpenAI, OpenRouter, Ollama (local, default endpoint http://localhost:11434), and FastEmbed (local models).
Node.js >= 18.0.0, a running Qdrant server (local or remote), and API keys for the embedding services you intend to use.
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`.
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.
Yes. Ollama (default endpoint http://localhost:11434, model e.g. `nomic-embed-text`) and FastEmbed are supported for local embeddings.

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