Model Context Protocol (MCP) Server for dify workflows
About
An MCP server for executing Dify workflows, configured via environment variables or a config file.
Details
- Author
- YanxingLiu
- GitHub stars
- 278
- Downloads
- 278
- Categories
- Developer Tools, Automation, AI, API, Other
Jump to
- Exposes a tool antd-component-codegen-mcp-tool for code generation.
- Accepts text and optional image inputs.
- Handles image file uploads.
- Supports streaming responses from the Dify AI API.
- Built entirely with TypeScript.
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
Model Context Protocol (MCP) Server for dify workflowsCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Prepare either environment variables (DIFY_BASE_URL and DIFY_APP_SKS) or a config.yaml file with the same data.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"model context protocol (mcp) server for dify workflows": {
"dify-mcp-server": {
"command": "uvx",
"args": [
"--from",
"git+https://github.com/YanxingLiu/dify-mcp-server",
"dify_mcp_server"
],
"env": {
"DIFY_BASE_URL": "",
"DIFY_APP_SKS": ""
}
}
}
}
}McpServers
{
"dify-mcp-server": {
"command": "uvx",
"args": [
"--from",
"git+https://github.com/YanxingLiu/dify-mcp-server",
"dify_mcp_server"
],
"env": {
"DIFY_BASE_URL": "",
"DIFY_APP_SKS": ""
}
}
}Model Context Protocol (MCP) Server for dify workflows
A simple implementation of an MCP server for usingdify. It achieves the invocation of the Dify workflow by calling the tools of MCP.
- [2025/4/15] zNow supports directly using environment variables to passbase_urlandapp_sks, making it more convenient to use with cloud-hosted platforms.
The server can be installed viaSmitheryor manually.
Step1: prepare config.yaml or enviroments
You can configure the server using either environment variables or aconfig.yamlfile.
Method 1: Using Environment Variables (Recommended for Cloud Platforms)
Set the following environment variables:
export DIFY_BASE_URL="https://cloud.dify.ai/v1" export DIFY_APP_SKS="app-sk1,app-sk2" # Comma-separated list of your Dify App SKs
- DIFY_BASE_URL: The base URL for your Dify API.
- DIFY_APP_SKS: A comma-separated list of your Dify App Secret Keys (SKs). Each SK typically corresponds to a different Dify workflow you want to make available via MCP.
Create aconfig.yamlfile to store your Dify base URL and App SKs.
dify_base_url: "https://cloud.dify.ai/v1" dify_app_sks: - "app-sk1" # SK for workflow 1 - "app-sk2" # SK for workflow 2 # Add more SKs as needed
- dify_base_url: The base URL for your Dify API.
- dify_app_sks: A list of your Dify App Secret Keys (SKs). Each SK typically corresponds to a different Dify workflow.
You can create this file quickly using the following command (adjust the path and values as needed):
# Create a directory if it doesn't exist mkdir -p ~/.config/dify-mcp-server # Create the config file cat > ~/.config/dify-mcp-server/config.yaml <<EOF dify_base_url: "https://cloud.dify.ai/v1" dify_app_sks: - "app-your-sk-1" - "app-your-sk-2" EOF echo "Configuration file created at ~/.config/dify-mcp-server/config.yaml"
When running the server (as shown in Step 2), you will need to provide the path to thisconfig.yamlfile via theCONFIG_PATHenvironment variable if you choose this method.
❓ If you haven't installed uv or uvx yet, you can do it quickly with the following command:
curl -Ls https://astral.sh/uv/install.sh | sh
✅ Method 1: Use uvx (no need to clone code, recommended)
{ "mcpServers": { "dify-mcp-server": { "command": "uvx", "args": [ "--from","git+https://github.com/YanxingLiu/dify-mcp-server","dify_mcp_server" ], "env": { "DIFY_BASE_URL": "https://cloud.dify.ai/v1", "DIFY_APP_SKS": "app-sk1,app-sk2", } } } }
{ "mcpServers": { "dify-mcp-server": { "command": "uvx", "args": [ "--from","git+https://github.com/YanxingLiu/dify-mcp-server","dify_mcp_server" ], "env": { "CONFIG_PATH": "/Users/lyx/Downloads/config.yaml" } } } }
✅ Method 2: Use uv (local clone + uv start)
You can also run the dify mcp server manually in your clients. The config of client should like the following format:
{ "mcpServers": { "mcp-server-rag-web-browser": { "command": "uv", "args": [ "--directory", "${DIFY_MCP_SERVER_PATH}", "run", "dify_mcp_server" ], "env": { "CONFIG_PATH": "$CONFIG_PATH" } } } }
{ "mcpServers": { "mcp-server-rag-web-browser": { "command": "uv", "args": [ "--directory", "${DIFY_MCP_SERVER_PATH}", "run", "dify_mcp_server" ], "env": { "CONFIG_PATH": "$CONFIG_PATH" } } } }
{ "mcpServers": { "dify-mcp-server": { "command": "uv", "args": [ "--directory", "/Users/lyx/Downloads/dify-mcp-server", "run", "dify_mcp_server" ], "env": { "DIFY_BASE_URL": "https://cloud.dify.ai/v1", "DIFY_APP_SKS": "app-sk1,app-sk2", } } } }
At last, you can use dify tools in any client who supports mcp.
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