Ragflow Retrieval Mcp Server

Name: Ragflow Retrieval Mcp Server
Author: datahwc

@datahwc

代码仓库

关于 Ragflow Retrieval Mcp Server

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

基本信息

分类

其他

传输方式

stdio

发布者

datahwc

提交者

datahwc

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "ragflow-retrieval-mcp-server": {
      "command": "uvx",
      "args": [
        "ragflow-retrieval-mcp-server"
      ]
    }
  }
}

工具

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概览

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).