Dify MCP Server
Model Context Protocol (MCP) Server for dify workflows
Installation
Installing for Claude Desktop
Manual Configuration Required
This MCP server requires manual configuration. Run the command below to open your configuration file:
npx mcpbar@latest edit -c claude
This will open your configuration file where you can add the Dify MCP Server MCP server manually.
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_url
andapp_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.
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