Model Context Protocol (MCP) Server for dify workflows

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 and app_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.