Dify MCP Client

@3dify-project

代码仓库

基本信息

分类

开发工具

许可证

Apache-2.0

传输方式

stdio

作者

3dify-project

关于 Dify MCP Client

MCP Client as an Agent Strategy Plugin. Support GUI operation via UI-TARS-SDK.

#mcp #dify #dify-plugins #mcp-clients

Dify MCP Client 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "dify-mcp-client": {
      "command": "docker",
      "args": [
        "build",
        "-t",
        "dify-mcp-client:latest",
        "."
      ]
    }
  }
}

Dify MCP Client 工具

工具列表暂未提供

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。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is dify-mcp-client?

dify-mcp-client is a Dify plugin that acts as an MCP (Model Context Protocol) Host, connecting MCP servers into Dify workflows as a ReAct Agent strategy. It is built for developers using Dify who want to integrate external MCP-compatible tools, resources, and prompts.

How to use dify-mcp-client?

Install the plugin from GitHub or from a .difypkg release file via Dify's plugin manager. After installation, add an Agent node in any Dify Chatflow and select "mcpReAct" as the agent strategy. Configure the config_json field with server URLs (SSE or Streamable HTTP) to connect MCP servers.

Key features of dify-mcp-client

Converts MCP tools, resources, and prompts into Dify tools.
Supports SSE, Streamable HTTP, and multiple MCP servers.
Integrates UI-TARS-SDK for GUI automation capabilities.
Allows user-configurable maximum loop count for GUI actions.
Provides Chatflow test examples and DSL (.yml) imports.

Use cases of dify-mcp-client

Connect an arxiv MCP server to let an LLM fetch papers autonomously.
Build a Chatflow that uses MCP tools to interact with local or remote services.
Automate GUI actions by combining UI-TARS vision with MCP tool calling in a Dify workflow.

常见问题

What transport protocols does dify-mcp-client support?

It supports SSE (Server-Sent Events) and Streamable HTTP transports for MCP servers.

Can I use TypeScript stdio MCP servers with this plugin?

Yes, but only if you use the Docker image with pre-installed Node.js inside the plugin-daemon, or deploy from source code (not via .difypkg). Alternatively, convert stdio servers to Streamable HTTP using mcp-proxy.

Does dify-mcp-client include a human-in-the-loop mechanism?

No, it does not implement human-in-the-loop by default. The README recommends connecting only reliable MCP servers and suggests setting max iterations to 1 or adding a permission-asking phrase in the INSTRUCTION field.

Where is the data stored and processed?

Data is processed within the Dify plugin runtime; configuration (server URLs) is provided via the `config_json` field in the Agent node. No external database is mentioned.

What are the runtime requirements for UI-TARS integration?

UI-TARS integration is supported only in Dify Plugin's local debug deployment (not via .difypkg). It requires a Hugging Face Inference Endpoint URL and API key, and runs UI-TARS-1.5-7B model. Known limitations include single-monitor support and macOS Retina display resolution issues.

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