This TypeScript implementation of a Model Context Protocol (MCP) server enables you to expose Dify workflows as tools for AI systems. It creates a bridge between Dify applications and any system supporting the MCP standard.
For automatic installation through Smithery:
npx -y @smithery/cli install @localSummer/dify-workflow-mcp --client claude
Clone the repository:
git clone https://github.com/localSummer/dify-workflow-mcp
cd dify-workflow-mcp
Install dependencies:
npm install
Create a configuration file:
# config.yaml
dify_base_url: 'https://api.dify.ai/v1'
dify_app_sks:
- 'your-dify-app-sk-1' # Replace with your actual Dify application key
- 'your-dify-app-sk-2' # Replace with your actual Dify application key
Build the project:
npm run build
Start the server:
npm start
To run in development mode:
npm run dev
The server uses a YAML file for configuration. By default, it looks for config.yaml
in the project root directory. You can specify a different path using the CONFIG_PATH
environment variable.
dify_base_url
: Base URL for the Dify APIdify_app_sks
: List of Dify application secret keysFor Cline/Roo Code configuration:
"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
}
blocking
response mode, waiting for complete execution before returning resultscode
and checkResult
. If your output fields differ, you'll need to modify this code:
const { code, checkResult } = responseData.data.outputs;
To add this MCP server to Claude Code, run this command in your terminal:
claude mcp add-json "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}'
See the official Claude Code MCP documentation for more details.
There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json
file so that it is available in all of your projects.
If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json
file.
To add a global MCP server go to Cursor Settings > Tools & Integrations and click "New MCP Server".
When you click that button the ~/.cursor/mcp.json
file will be opened and you can add your server like this:
{
"mcpServers": {
"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
}
}
}
To add an MCP server to a project you can create a new .cursor/mcp.json
file or add it to the existing one. This will look exactly the same as the global MCP server example above.
Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.
The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.
You can also explicitly ask the agent to use the tool by mentioning the tool name and describing what the function does.
To add this MCP server to Claude Desktop:
1. Find your configuration file:
~/Library/Application Support/Claude/claude_desktop_config.json
%APPDATA%\Claude\claude_desktop_config.json
~/.config/Claude/claude_desktop_config.json
2. Add this to your configuration file:
{
"mcpServers": {
"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
}
}
}
3. Restart Claude Desktop for the changes to take effect