Ragflow Retrieval MCP Server

@datahwc

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datahwc

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datahwc

关于 Ragflow Retrieval MCP Server

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

Ragflow Retrieval MCP Server 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"
      ]
    }
  }
}

Ragflow Retrieval MCP Server 工具

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当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

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

—

常见问题

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).

Where does the data live?

Data is stored in the connected RAGFlow knowledge base; the server only retrieves results.

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