Dify Workflow MCP Tool Server

A tool server for easy integration with Dify Workflow using the Model Context Protocol (MCP).

Features

MCP protocol implementation enabling bidirectional communication with Claude
Utilizes Dify Workflow as a tool
Dynamically retrieves and displays Dify Workflow parameters
Simple configuration using environment variables
NEW: Support for multiple Dify API keys

Prerequisites

Node.js 16 or higher
npm 7 or higher
Access rights to Dify Workflow (API Key)

Integration with Claude Desktop App

To use with Claude Desktop App, add the following settings to Claude's configuration file:

Windows

Add to %AppData%\Claude\claude_desktop_config.json:

{
  "mcpServers": {
    "dify-workflow": {
      "command": "npx",
      "args": ["@tonlab/dify-mcp-server"],
      "env": {
        "DIFY_BASE_URL": "https://your-dify-endpoint",
        "DIFY_API_KEY": "your-api-key-here"
      }
    }
  }
}

Using Multiple API Keys (NEW)

You can now configure multiple Dify API keys, which will create multiple tools (one per API key):

{
  "mcpServers": {
    "dify": {
      "command": "npx",
      "args": ["@tonlab/dify-mcp-server"],
      "env": {
        "DIFY_BASE_URL": "https://api.dify.ai/v1",
        "DIFY_API_KEYS": "app-FirstAPIKeyHere,app-SecondAPIKeyHere,app-ThirdAPIKeyHere"
      }
    }
  }
}

Each API key will be exposed as a separate tool in Claude, with a distinct number appended to the tool name.

macOS/Linux

Add to ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "dify-workflow": {
      "command": "npx",
      "args": ["@tonlab/dify-mcp-server"],
      "env": {
        "DIFY_BASE_URL": "https://your-dify-endpoint",
        "DIFY_API_KEY": "your-api-key-here"
      }
    }
  }
}

Same multiple API key configuration as described above works on macOS/Linux as well.

License

MIT

This server cannot be installed

security - not tested

license - not found

quality - not tested

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Enables seamless integration between Claude AI and Dify Workflow through the Model Context Protocol, allowing Claude to dynamically access and execute Dify Workflow operations via natural language.

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