by aliyun · MCP Server · ★ 50
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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.
| Stars | 50 |
| Forks | 16 |
| Language | TypeScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 59.9387122076875/100 |
| Open Issues | 11 |
| Last Updated | 2026-06-16 |
| Created | 2025-03-26 |
| Platforms | mcp, node |
| Est. Tokens | ~13k |
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alibabacloud-dataworks-mcp-server 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 implementation is based on the Aliyun Open . It is categorized as a MCP Server with 50 GitHub stars.
alibabacloud-dataworks-mcp-server is primarily written in TypeScript. It covers topics such as ai, aliyun, bigdata.
You can find installation instructions and usage details in the alibabacloud-dataworks-mcp-server GitHub repository at github.com/aliyun/alibabacloud-dataworks-mcp-server. The project has 50 stars and 16 forks, indicating an active community.
alibabacloud-dataworks-mcp-server is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to alibabacloud-dataworks-mcp-server on Agent Skills Hub include MCP-PostgreSQL-Ops, langchain_data_agent, mongodb-lens. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
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