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 hustcc · MCP Server · ★ 621
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mcp-mermaid safe to install? View the security audit →
MCP Mermaid Generate mermaid diagram and chart with AI MCP dynamically. Also you can use: mcp-server-chart to generate chart, graph, map. Infographic to generate infographic, such as , , , and so on. ✨ Features Fully support all features and syntax of . Support configuration of bac
| Stars | 621 |
| Forks | 56 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 68.200952333408/100 |
| Open Issues | 8 |
| Last Updated | 2026-05-15 |
| Created | 2025-05-20 |
| Platforms | mcp, node |
| Est. Tokens | ~5k |
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mcp-mermaid is ❤️ Generate mermaid diagram and chart with AI MCP dynamically.. It is categorized as a MCP Server with 621 GitHub stars.
mcp-mermaid is primarily written in TypeScript. It covers topics such as mcp, mcp-server, mermaid.
You can find installation instructions and usage details in the mcp-mermaid GitHub repository at github.com/hustcc/mcp-mermaid. The project has 621 stars and 56 forks, indicating an active community.
mcp-mermaid is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to mcp-mermaid on Agent Skills Hub include argo, oh-my-mermaid, smart-illustrator. 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.
Sources & who's responsible: