This MCP server plugin allows you to expose your Dify workflows as tools to AI clients that support the Model Context Protocol (MCP), such as Claude Desktop and Cursor. This enables AI assistants to discover and interact with your workflows without requiring any modifications to them.
To set up the Dify MCP server plugin:
Before using the MCP server, ensure your Dify application contains at least one workflow that has been properly configured.
https://your-dify-instance-address/difyapp_as_mcp_server
https://your-dify-instance-address/difyapp_as_mcp_server
The plugin implements an MCP server using two endpoints:
The implementation includes:
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 > MCP and click "Add new global MCP server".
When you click that button the ~/.cursor/mcp.json
file will be opened and you can add your server like this:
{
"mcpServers": {
"cursor-rules-mcp": {
"command": "npx",
"args": [
"-y",
"cursor-rules-mcp"
]
}
}
}
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 explictly ask the agent to use the tool by mentioning the tool name and describing what the function does.