What are the runtime requirements?
Python 3.10 or higher and a running RAGFlow instance.
@datahwc
基本情報
This mcp server is used to search content from the ragflow knowledge base.
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": {
"ragflow-retrieval-mcp-server": {
"command": "uvx",
"args": [
"ragflow-retrieval-mcp-server"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
Ragflow Retrieval Mcp Server is an MCP (Model Context Protocol) server that integrates with the RAGFlow knowledge base system to provide content‑based document retrieval capabilities.
Set the required environment variables (SERVER_HOST, SERVER_PORT, RAGFLOW_BASE_URL, RAGFLOW_API_KEY, RAGFLOW_DATASET_ID, and optional RAGFLOW_TOP_K, RAGFLOW_SIMILARITY_THRESHOLD, RAGFLOW_TIMEOUT), then run uvx ragflow-retrieval-mcp-server. For development, create a virtual environment with uv venv, install dependencies with uv pip install -e ., and run with uv run ragflow-retrieval-mcp-server.
—
Python 3.10 or higher and a running RAGFlow instance.
Set the environment variables `RAGFLOW_BASE_URL`, `RAGFLOW_API_KEY`, and `RAGFLOW_DATASET_ID`. Optionally set `RAGFLOW_TOP_K` (default 10), `RAGFLOW_SIMILARITY_THRESHOLD` (default 0.2), and `RAGFLOW_TIMEOUT` (default 60).
Data is stored in the connected RAGFlow knowledge base; the server only retrieves results.
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