A Model Context Protocol (MCP) server that provides tools for AI, allowing it to interact with the DataWorks Open API through a standardized interface.
Created 3 months ago
A Model Context Protocol (MCP) server that provides tools for AI, allowing it to interact with the DataWorks Open API through a standardized interface.
What is 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 MCP server interacts with DataWorks Open API and manages DataWorks resources. It implements the Model Context Protocol specification to standardize cloud resource interactions for AI agents. The server requires Node.js and provides installation options via npm or from source.
Documentation
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)
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)
- Clone this repository:
git clone https://github.com/aliyun/alibabacloud-dataworks-mcp-server
cd alibabacloud-dataworks-mcp-server
- Install dependencies (pnpm is recommended, npm is supported):
pnpm install
- Build the project:
pnpm run build
- Development the project (by @modelcontextprotocol/inspector):
pnpm run dev
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:
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:
- Verify your Aliyun Open API access key and secret key are correct
- Check your region id is correct
- Ensure you're on the intended network (mainnet, testnet, or devnet)
- Verify the build was successful
Dependencies
Key dependencies include:
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
- Fork the repository
- Create your feature branch (
git checkout -b feature/amazing-feature) - Commit your changes (
git commit -m 'Add some amazing feature') - Push to the branch (
git push origin feature/amazing-feature) - Open a Pull Request
License
This project is licensed under the Apache 2.0 License.
Server Config
{
"mcpServers": {
"a-model-context-protocol-(mcp)-server-that-provides-tools-for-ai,-allowing-it-to-interact-with-the-dataworks-open-api-through-a-standardized-interface.-server": {
"command": "npx",
"args": [
"a-model-context-protocol-(mcp)-server-that-provides-tools-for-ai,-allowing-it-to-interact-with-the-dataworks-open-api-through-a-standardized-interface."
]
}
}
}