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dify-server MCP 服务器

@AI-FE

Repository

Basic information

Category

Other

Transports

stdio

Author

AI-FE

About dify-server MCP 服务器

A Model Context Protocol server for Dify

dify-server MCP 服务器 config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

dify-server MCP 服务器 tools

1

生成 Ant Design 业务组件代码

Overview

What is dify-server MCP 服务器?

dify-server MCP 服务器 is a Model Context Protocol server built with TypeScript that integrates the Dify AI API to generate Ant Design business component code. It is intended for developers who want to use AI-powered code generation within MCP-compatible tools like Continue or Cline.

How to use dify-server MCP 服务器?

Configure the server by adding its entry to your MCP client’s settings (e.g., continue config.json or cline_mcp_settings.json), providing the build path and your DIFY_API_KEY environment variable. After building with npm run build, the server runs via stdio using the command node build/index.js.

Key features of dify-server MCP 服务器

  • Exposes a tool antd-component-codegen-mcp-tool for code generation.
  • Accepts text and optional image inputs.
  • Handles image file uploads.
  • Supports streaming responses from the Dify AI API.
  • Built entirely with TypeScript.

Use cases of dify-server MCP 服务器

  • Quickly generate Ant Design business components from natural language descriptions.
  • Build AI‑assisted code generation into MCP‑compatible IDEs (e.g., Continue, Cline).
  • Combine text and image prompts to refine component designs.
  • Automate repetitive UI component creation tasks.

Frequently asked questions

1

What runtime does dify-server MCP 服务器 require?

Node.js is required; the server is compiled to JavaScript and started with the `node` command.

2

How do I provide my Dify API key?

Set the `DIFY_API_KEY` environment variable in the `env` section of your MCP client’s configuration (e.g., `continue config.json` or `cline_mcp_settings.json`).

3

What transport does the server use?

It communicates via standard input/output (stdio), as configured in the MCP client settings.

4

How can I debug the server?

Use the [MCP Inspector](https://github.com/modelcontextprotocol/inspector) by running `npm run inspector`, which provides a browser‑based debugging tool.

5

Does the server store any data locally?

The README does not mention local storage; the server sends requests to the Dify AI API and returns responses without persisting data.

Comments

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