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 lgazo · MCP Server · ★ 1.5k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is drawio-mcp-server safe to install? View the security audit →
Draw.io MCP server Let's do some Vibe Diagramming with the most wide-spread diagramming tool called Draw.io (Diagrams.net). Key Highlights Edge geometry control with waypoints and automatic self-connector routing Parent-child relationships for nested shapes and grouping Built-in Draw.io editor - no browser extension required MCP server that lets AI agents control Draw.io diagrams Programmatic diagram creation, inspection, and modification via MCP tools Layer management for complex diagrams Works with any MCP client (Claude Desktop, Claude Code, Zed, Codex, etc.) Introduction The Draw.io MCP server brings Draw.io diagramming capabilities to AI agents. It provides MCP tools that can create, read, update, and delete diagram elements - letting AI assistants build archit
| Stars | 1,464 |
| Forks | 131 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 68.7318086203298/100 |
| Open Issues | 9 |
| Last Updated | 2026-09-14 |
| Created | 2025-04-21 |
| Platforms | mcp, node |
| Est. Tokens | ~15k |
These tools work well together with drawio-mcp-server for enhanced workflows:
Explore other popular mcp server tools:
drawio-mcp-server is Draw.io Model Context Protocol (MCP) Server. It is categorized as a MCP Server with 1.5k GitHub stars.
drawio-mcp-server is primarily written in TypeScript.
You can find installation instructions and usage details in the drawio-mcp-server GitHub repository at github.com/lgazo/drawio-mcp-server. The project has 1.5k stars and 131 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.
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.
Sources & who's responsible: