DataWorks

Communauté IA et agents

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.

Installation

Les étapes d'installation sont dans la documentation ci-dessous. Documentation

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. Try DataWorks Agent
  2. DataWorks MCP Server
  3. Overview
  4. Prerequisites
  5. Installation
  6. Configuration
  7. Project Structure
  8. Available Tools
  9. Security Considerations
  10. Troubleshooting
  11. Dependencies
  12. Contributing
  13. License

Try DataWorks Agent

Want a ready-to-use AI experience for DataWorks without manual MCP setup?

DataWorks Agent is Alibaba Cloud's built-in intelligent assistant for data development and operations. It connects to your DataWorks workspace out of the box, so you can use natural language to explore metadata, develop nodes, troubleshoot tasks, and manage resources—no local MCP server configuration required.

DataWorks AgentThis MCP Server
Best forQuick start in the DataWorks consoleCustom AI clients (Cursor, Cline, etc.)
SetupOpen and use in browserInstall, configure AK, and connect MCP
IntegrationNative DataWorks experienceOpen API via MCP protocol

👉 Get started: https://dataworks.data.alibabacloud.com/product/agent?source=github

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.

If you prefer embedding DataWorks capabilities into your own AI workflow or IDE, follow the installation guide below.

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: bash git clone https://github.com/aliyun/alibabacloud-dataworks-mcp-server cd alibabacloud-dataworks-mcp-server
  2. Install dependencies (pnpm is recommended, npm is supported): bash pnpm install
  3. Build the project: bash pnpm run build
  4. Development the project (by @modelcontextprotocol/inspector): bash 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:

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.

Questions fréquentes

Qu'est-ce que DataWorks ?

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.

Comment installer DataWorks ?

Suivez les étapes d'installation de sa documentation, affichée sur cette page et dans son dépôt.

DataWorks est-il open source ?

Oui. Son code est sur GitHub sous licence Apache-2.0.

Qui maintient DataWorks ?

Il est publié par aliyun. AI.tn le référence sans le maintenir ni le recommander.

Issu des listes communautaires awesome-mcp-servers et du dépôt GitHub du projet. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.