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AI-FE_dify-mcp-server
Mirror ofhttps://github.com/AI-FE/dify-mcp-server
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dify-server MCP 服务器
一个集成 Dify AI API 的 Model Context Protocol 服务器
这是一个基于 TypeScript 的 MCP 服务器,通过集成 Dify AI API 来提供 Ant Design 业务组件的代码生成能力。它展示了以下核心 MCP 概念:
- 集成 Dify AI API 实现聊天完成功能
- 支持文本和图片输入
- 流式响应处理
功能特性
Tools
-
antd-component-codegen-mcp-tool
- 生成 Ant Design 业务组件代码- 支持文本和可选的图片输入
- 处理图片文件上传
- 支持来自 Dify AI API 的流式响应
开发指南
安装依赖:
npm install
开发模式(自动重新构建):
npm run watch
构建服务器:
npm run build
安装说明
在 Continue 中集成
在~/.continue/config.json
中添加以下配置:
{
"experimental": {
"modelContextProtocolServers": [
{
"transport": {
"type": "stdio",
"command": "node",
"args": ["your/path/dify-server/build/index.js"],
"env": {
"DIFY_API_KEY": "***"
}
}
}
]
}
}
在 Cline 中集成
在your/path/cline_mcp_settings.json
中添加以下配置:
{
"mcpServers": {
"dify-server": {
"command": "node",
"args": ["your/path/dify-server/build/index.js"],
"env": {
"DIFY_API_KEY": "***"
}
}
}
}
调试
由于 MCP 服务器通过标准输入输出(stdio)进行通信,调试可能会比较困难。我们推荐使用 MCP Inspector,可通过以下命令启动:
npm run inspector
Inspector 将提供一个可在浏览器中访问的调试工具 URL。
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Reviews

user_e8gmY82i
AI-FE_dify-mcp-server by MCP-Mirror is a reliable and efficient server solution for AI applications. With comprehensive documentation available on GitHub, it offers robust features and seamless integration capabilities tailored for advanced AI functionalities. A go-to choice for developers looking to enhance their AI projects with ease and flexibility. Highly recommend checking it out!