No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by simonkurtz-MSFT · MCP Server · ★ 78
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🔒 Is drawio-mcp-server safe to install? View the security audit →
Draw.io MCP Server A Model Context Protocol (MCP) server for programmatic diagram generation using Draw.io (Diagrams.net). This server generates Draw.io XML directly — no browser extension or Draw.io instance required. Demo Video Acknowledgements This project would not exist in this manner if it weren't for the following repositories and their authors. Thank you! Original drawio-mcp-server by Ladislav (lgazo): lgazo/drawio-mcp-server Azure icons source (): dwarfered/azure-architecture-icons-for-drawio VS Code Drawio extension by hediet: [hediet/vscode-drawio](https://github.com/hediet/vsco
| Stars | 78 |
| Forks | 16 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 74.8654617106341/100 |
| Open Issues | 3 |
| Last Updated | 2026-05-15 |
| Created | 2026-02-17 |
| Platforms | browser, mcp, node |
| Est. Tokens | ~69k |
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drawio-mcp-server is A Model Context Protocol (MCP) server for programmatic diagram generation using Draw.io (Diagrams.net). This server generates Draw.io XML directly — no browser extension or Draw.io instance required.. It is categorized as a MCP Server with 78 GitHub stars.
drawio-mcp-server is primarily written in TypeScript. It covers topics such as ai, azure, diagram.
You can find installation instructions and usage details in the drawio-mcp-server GitHub repository at github.com/simonkurtz-MSFT/drawio-mcp-server. The project has 78 stars and 16 forks, indicating an active community.
drawio-mcp-server is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to drawio-mcp-server on Agent Skills Hub include mcp-agent-langchainjs, Generative-UI-MCP, langchain_data_agent. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.