MCP Servers

Dify Workflows MCP Server

A TypeScript implementation of a Model Context Protocol (MCP) server that exposes Dify workflows as tools for AI systems to interact with.

localSummer

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README

Dify Workflows MCP 服务器 (TypeScript)

一个 Model Context Protocol (MCP) 服务器的 TypeScript 实现，将 Dify 工作流作为工具暴露出来。

特性

将 Dify 应用程序转换为 MCP 工具
支持从 Dify 工作流流式响应（待实现）
通过 YAML 配置文件进行配置
使用 TypeScript 编写，具有类型安全性

前提条件

Node.js 18 或更高版本
npm 8 或更高版本
访问 Dify API 和应用程序密钥

安装

克隆仓库：

git clone https://github.com/localSummer/dify-workflow-mcp
cd dify-workflow-mcp

安装依赖：
```
npm install
```

创建配置文件：

# config.yaml
dify_base_url: 'https://api.dify.ai/v1'
dify_app_sks:
  - 'your-dify-app-sk-1' # 替换为你的实际 Dify 应用程序密钥
  - 'your-dify-app-sk-2' # 替换为你的实际 Dify 应用程序密钥

使用方法

构建项目：
```
npm run build
```
启动服务器：
```
npm start
```

开发环境：

npm run dev

配置

服务器可以使用 YAML 文件进行配置。默认情况下，它会在项目根目录中查找 config.yaml。您可以使用 CONFIG_PATH 环境变量指定不同的路径。

配置选项

dify_base_url: Dify API 的基本 URL
dify_app_sks: Dify 应用程序密钥列表

Cline/Roo Code配置

"dify-workflow-mcp": {
   "command": "node",
   "args": [
      "path/dify-workflow-mcp/build/index.js"
   ],
   "env": {
      "CONFIG_PATH": "path/dify-workflow-mcp/config.yaml"
   },
   "disabled": false,
   "alwaysAllow": [],
   "timeout": 300
}

注意事项

当前运行工作流使用的响应模式是：response_mode: 'blocking'，会等待工作流执行完成后输出最终结果
当前工作流输出字段为：code 和 checkResult，如输出字段不一致，需要调整下面的代码
```
const { code, checkResult } = responseData.data.outputs;
```

许可证

ISC

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