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YanxingLiu/dify-mcp-server: 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.

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
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

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",
    }
  }
}
}

At last, you can use dify tools in any client who supports mcp.


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