What is DataWorks?

DataWorks is an MCP (Model Context Protocol) server that enables AI agents to interact with Alibaba Cloud DataWorks Open API through a standardized interface, allowing seamless cloud resource operations.

How to use DataWorks?

1. Installation:
   • Option 1: Install via npm globally or locally (npm install -g alibabacloud-dataworks-mcp-server)
   • Option 2: Build from source (clone repo, install dependencies, build, and run)
2. Configuration: Set up environment variables (API keys, region ID) in your .env file or MCP server config.
3. Usage: The server provides tools to manage DataWorks resources via standardized MCP interfaces.

Key features of DataWorks?

• Standardized MCP Interface: Seamless interaction with DataWorks Open API
• Resource Management:能力 to manage DataWorks resources
• AI Integration: Enables AI agents to perform cloud operations
• Security: Supports secure access key management

Use cases of DataWorks?

1. Automating DataWorks workflows through AI agents
2. Managing cloud resources programmatically
3. Integrating DataWorks with AI models for data processing
4. Standardizing API interactions across Alibaba Cloud services

FAQ about DataWorks?

• Is DataWorks free to use?

  The server itself is open-source (Apache 2.0), but Alibaba Cloud API usage may incur costs.

• What authentication methods are supported?

  Access key and secret key authentication via environment variables.

• Which regions does DataWorks support?

  Configurable via the REGION environment variable (check Alibaba Cloud documentation for availability).

• Can I extend its functionality?

  Yes, contributions are welcome via pull requests (fork repository → create feature branch → submit PR).

DataWorks MCP Server

A Model Context Protocol (MCP) server that provides tools for AI, allowing it to interact with the DataWorks Open API through a standardized interface. This implementation is based on the Aliyun Open API and enables AI agents to perform cloud resources operations seamlessly.

Overview

This MCP server:

• Interact with DataWorks Open API
• Manage DataWorks resources

The server implements the Model Context Protocol specification to standardize cloud resource interactions for AI agents.

Prerequisites

• Node.js (v16 or higher)
• pnpm (recommended), npm, or yarn
• DataWorks Open API with access key and secret key

Installation

Option 1: Install from npm (recommend for clients like Cursor/Cline)

# Install globally
npm install -g alibabacloud-dataworks-mcp-server

# Or install locally in your project
npm install alibabacloud-dataworks-mcp-server

Option 2: Build from Source (for developers)

1. Clone this repository:

git clone https://github.com/aliyun/alibabacloud-dataworks-mcp-server
cd alibabacloud-dataworks-mcp-server

2. Install dependencies (pnpm is recommended, npm is supported):

pnpm install

3. Build the project:

pnpm run build

4. Development the project (by @modelcontextprotocol/inspector):

pnpm run dev

open http://localhost:5173

Configuration

MCP Server Configuration

If you installed via npm (Option 1):

{
  "mcpServers": {
    "alibabacloud-dataworks-mcp-server": {
      "command": "npx",
      "args": ["alibabacloud-dataworks-mcp-server"],
      "env": {
        "REGION": "your_dataworks_open_api_region_id_here",
        "ALIBABA_CLOUD_ACCESS_KEY_ID": "your_alibaba_cloud_access_key_id",
        "ALIBABA_CLOUD_ACCESS_KEY_SECRET": "your_alibaba_cloud_access_key_secret",
        "TOOL_CATEGORIES": "optional_your_tool_categories_here_ex_UTILS",
        "TOOL_NAMES": "optional_your_tool_names_here_ex_ListProjects"
      },
      "disabled": false,
      "autoApprove": []
    }
  }
}

If you built from source (Option 2):

{
  "mcpServers": {
    "alibabacloud-dataworks-mcp-server": {
      "command": "node",
      "args": ["/path/to/alibabacloud-dataworks-mcp-server/build/index.js"],
      "env": {
        "REGION": "your_dataworks_open_api_region_id_here",
        "ALIBABA_CLOUD_ACCESS_KEY_ID": "your_alibaba_cloud_access_key_id",
        "ALIBABA_CLOUD_ACCESS_KEY_SECRET": "your_alibaba_cloud_access_key_secret",
        "TOOL_CATEGORIES": "optional_your_tool_categories_here_ex_SERVER_IDE_DEFAULT",
        "TOOL_NAMES": "optional_your_tool_names_here_ex_ListProjects"
      },
      "disabled": false,
      "autoApprove": []
    }
  }
}

Environment Setup

init variables in your environment:

# DataWorks Configuration
REGION=your_dataworks_open_api_region_id_here
ALIBABA_CLOUD_ACCESS_KEY_ID=your_alibaba_cloud_access_key_id
ALIBABA_CLOUD_ACCESS_KEY_SECRET=your_alibaba_cloud_access_key_secret
TOOL_CATEGORIES=optional_your_tool_categories_here_ex_SERVER_IDE_DEFAULT
TOOL_NAMES=optional_your_tool_names_here_ex_ListProjects

Configuration Description

• Use Guide Description Link

Project Structure

alibabacloud-dataworks-mcp-server/
├── src/
│   ├── index.ts          # Main entry point
├── package.json
└── tsconfig.json

Available Tools

The MCP server provides the following DataWorks tools:

See this link

Security Considerations

• Keep your private key secure and never share it
• Use environment variables for sensitive information
• Regularly monitor and audit AI agent activities

Troubleshooting

If you encounter issues:

1. Verify your Aliyun Open API access key and secret key are correct
2. Check your region id is correct
3. Ensure you're on the intended network (mainnet, testnet, or devnet)
4. Verify the build was successful

Dependencies

Key dependencies include:

• @alicloud/dataworks-public20240518
• @alicloud/openapi-client

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

1. Fork the repository
2. Create your feature branch (git checkout -b feature/amazing-feature)
3. Commit your changes (git commit -m 'Add some amazing feature')
4. Push to the branch (git push origin feature/amazing-feature)
5. Open a Pull Request

License

This project is licensed under the Apache 2.0 License.