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 ahujasid · MCP Server · ★ 29.8k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mcp-for-blender safe to install? View the security audit →
MCP for Blender Connect Blender to any LLM formerly — the PyPI package is now . Existing setups keep working; no config change is required. Read more Disclaimer: This is a third-party integration and not made by Blender Prompt-assisted 3D modeling, scene creation, and manipulation — driven by AI. Website · Full Tutorial · Discord · Sponsor · Buy me a coffee · Feedback <a href="https://trendshift.io/repositories/14834?utmsource=repository-badge&utmmedium=badge&utmcampaign=badge-repository-14834" target="
| Stars | 29,751 |
| Forks | 2,706 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 73.1132855600816/100 |
| Open Issues | 36 |
| Last Updated | 2026-09-30 |
| Created | 2025-03-07 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~21k |
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mcp-for-blender is Community plugin to control Blender 3D with any LLM of your choice. It is categorized as a MCP Server with 29.8k GitHub stars.
mcp-for-blender is primarily written in Python. It covers topics such as 3d-modeling, ai, blender.
You can find installation instructions and usage details in the mcp-for-blender GitHub repository at github.com/ahujasid/mcp-for-blender. The project has 29.8k stars and 2706 forks, indicating an active community.
mcp-for-blender is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to mcp-for-blender on Agent Skills Hub include blender-mcp, repomix, ai-guide. 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: