概览
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-toolfor 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.
FAQ from dify-server MCP 服务器
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.
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).
What transport does the server use?
It communicates via standard input/output (stdio), as configured in the MCP client settings.
How can I debug the server?
Use the MCP Inspector by running npm run inspector, which provides a browser‑based debugging tool.
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.
