Ragflow Retrieval Mcp Server

Name: Ragflow Retrieval Mcp Server
Author: datahwc

@datahwc

リポジトリ

Ragflow Retrieval Mcp Server について

This mcp server is used to search content from the ragflow knowledge base.

基本情報

カテゴリ

その他

トランスポート

stdio

公開者

datahwc

投稿者

datahwc

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": {
    "ragflow-retrieval-mcp-server": {
      "command": "uvx",
      "args": [
        "ragflow-retrieval-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 Ragflow Retrieval Mcp Server?

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.

How to use Ragflow Retrieval Mcp Server?

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.

Key features of Ragflow Retrieval Mcp Server

Connects to RAGFlow knowledge base systems.
Provides content‑based document retrieval.
Configurable retrieval parameters (top K, similarity threshold, timeout).
Supports both production and development run modes.
MIT licensed.

Use cases of Ragflow Retrieval Mcp Server

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FAQ from Ragflow Retrieval Mcp Server

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What are the runtime requirements?

Python 3.10 or higher and a running RAGFlow instance.

How do I configure the server?

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).