Content
# Model Context Protocol (MCP) Server for dify workflows
A simple implementation of an MCP server for using [dify](https://github.com/langgenius/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` and `app_sks`, making it more convenient to use with cloud-hosted platforms.
## 🔨Installation
The server can be installed via [Smithery](https://smithery.ai/server/dify-mcp-server) 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:
```shell
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`:
```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):
```bash
# 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)
```json
{
"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
```json
{
"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:
```json
{
"mcpServers": {
"mcp-server-rag-web-browser": {
"command": "uv",
"args": [
"--directory", "${DIFY_MCP_SERVER_PATH}",
"run", "dify_mcp_server"
],
"env": {
"CONFIG_PATH": "$CONFIG_PATH"
}
}
}
}
```
or
```json
{
"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:
```json
{
"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.
MCP Store
