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 sandraschi · MCP Server · ★ 81
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is inkscape-mcp safe to install? View the security audit →
Inkscape MCP MCP server for Inkscape: agents call portmanteau tools (, , , ) that drive the Inkscape CLI. Built with FastMCP 3.2.0+. You need Python 3.12+, uv, and Inkscape on the same machine. | [do
| Stars | 81 |
| Forks | 14 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 64.3131398740527/100 |
| Open Issues | 3 |
| Last Updated | 2026-10-03 |
| Created | 2026-01-14 |
| Platforms | browser, claude-code, mcp, python |
| Est. Tokens | ~14k |
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inkscape-mcp is Headless Inkscape SVG automation via FastMCP — 60+ ops: create, boolean, LPE, export, text, fleet pipeline. Batch without GUI tour. For Cursor / Claude Desktop. Webapp + Tauri.. It is categorized as a MCP Server with 81 GitHub stars.
inkscape-mcp is primarily written in Python. It covers topics such as batch-processing, fastmcp, framer-motion.
You can find installation instructions and usage details in the inkscape-mcp GitHub repository at github.com/sandraschi/inkscape-mcp. The project has 81 stars and 14 forks, indicating an active community.
inkscape-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to inkscape-mcp on Agent Skills Hub include flutter-skill, hamster-archiver, aicanvas. 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: