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 · ★ 53
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is blender-mcp safe to install? View the security audit →
Blender MCP — AI-Powered Blender Automation Control Blender with natural language through MCP. Tell Claude to create a steampunk robot with glowing eyes and watch it build in Blender. How it runs You do not need to open Blender’s UI for most MCP tools — the server spawns headless Blender automatically and falls back from live session when no bridge is connected. Install [Blend
| Stars | 53 |
| Forks | 12 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 59.940424729149/100 |
| Open Issues | 3 |
| Last Updated | 2026-10-02 |
| Created | 2025-08-15 |
| Platforms | browser, claude-code, mcp, python |
| Est. Tokens | ~14k |
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blender-mcp is Headless Blender automation via FastMCP — 41 portmanteau tools (150+ ops). Batch mesh/VSE/Grease Pencil, VRM, Gaussian splats; optional live bridge. For Cursor / Claude Desktop. React dashboard + Taur. It is categorized as a MCP Server with 53 GitHub stars.
blender-mcp is primarily written in Python. It covers topics such as 3d-modeling, animation, blender.
You can find installation instructions and usage details in the blender-mcp GitHub repository at github.com/sandraschi/blender-mcp. The project has 53 stars and 12 forks, indicating an active community.
blender-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to blender-mcp on Agent Skills Hub include blender-ai-mcp, three.ws, blender-open-mcp. 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: