Model Context Protocol (MCP) Server for dify workflows Python-based implementation.
Documentation
Model Context Protocol (MCP) Server for dify workflows
A simple implementation of an MCP server for using dify. It achieves the invocation of the Dify workflow by calling the tools of MCP.
📰 News
- [2025/4/15] zNow supports directly using environment variables to pass
base_urlandapp_sks, making it more convenient to use with cloud-hosted platforms.
🔨Installation
The server can be installed via Smithery or manually.
Step1: prepare config.yaml or enviroments
You can configure the server using either environment variables or a config.yaml file.
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.
Method 2: Using config.yaml
Create a config.yaml file to store your Dify base URL and App SKs.
Example config.yaml:
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 this config.yaml file via the CONFIG_PATH environment variable if you choose this method.
Step2: Installation on your client
❓ 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",
}
}
}
}or
{
"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"
}
}
}
}or
{
"mcpServers": {
"mcp-server-rag-web-browser": {
"command": "uv",
"args": [
"--directory", "${DIFY_MCP_SERVER_PATH}",
"run", "dify_mcp_server"
],
"env": {
"CONFIG_PATH": "$CONFIG_PATH"
}
}
}
}Example config:
{
"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",
}
}
}
}Enjoy it
At last, you can use dify tools in any client who supports mcp.
Similar MCP
Based on tags & features
Trending MCP
Most active this week