blender-mcp-bridge: Automate Blender 3D modeling with AI via MCP — 93 tools for modeling, sculpting, architecture/MEP, materials

by seehiong · MCP Server · ★ 84

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Featured in: Blender, Unity & Godot MCP

How to install blender-mcp-bridge

uvx blender-mcp-bridge serve

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 56/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

3d-modeling3d-printingai-agentai-assistantsapiarchitectural-visualizationautomationblenderblender-addonclaude

Quick Facts

Stars84
Forks18
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score56/100
Last Updated2026-09-13
Created2026-02-13
Platformsclaude-code, gemini, mcp, python
Est. Tokens~13k

About blender-mcp-bridge

Blender MCP Bridge Give an AI agent hands-on control of Blender: build geometry, apply materials, render, and check that a mesh is printable — 98 tools over the Model Context Protocol. Works with Claude Desktop, Claude Code, n8n, or any MCP client. That is the server. It drives a small addon inside Blender, which does the actual work — see Installation, a one-time step.

Compatible Skills

These tools work well together with blender-mcp-bridge for enhanced workflows:

  • mixar-app — semantic(0.53)+complementary+rare_topics+same_lang+similar_pop+shared_platform (73%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

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