blender-ai-mcp — security grade SAFE, quality 63/100

Security audit verdict: SAFE · quality 63/100

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 PatrykIti · MCP Server · ★ 54

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

🔒 Is blender-ai-mcp safe to install? View the security audit →

About blender-ai-mcp

blender-ai-mcp A production-shaped MCP server for Blender. lets Claude, ChatGPT, Codex, and other MCP clients control Blender through a stable tool API instead of ad-hoc Python generation. The result is a safer, smaller, and more reliable surface for real modeling work: goal-first routing, curated public tools, deterministic inspection, and verification that does not depend on guesswork. Why This Exists Most "AI + Blender" setups still ask the model to write raw scripts. That breaks exactly where production work gets

3d-modelingai-agentsai-toolsblender-pythoncomputer-graphicsfastmcpllmmcpmcp-servermcp-servers

Quick Facts

Stars54
Forks14
LanguagePython
CategoryMCP Server
LicenseApache-2.0
Quality Score63.264840823454/100
Open Issues1
Last Updated2026-06-27
Created2025-11-22
Platformsmcp, python
Est. Tokens~1213k

Compatible Skills

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

  • Vibe3DScene — semantic(0.53)+rare_topics+same_lang+similar_pop+shared_platform (53%)
  • cad-skill — semantic(0.18)+complementary+same_lang+similar_pop+shared_platform (51%)

blender-ai-mcp alternative? Top 6 similar tools

Looking for a blender-ai-mcp alternative? If you're comparing blender-ai-mcp with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.

  • forgemax by postrv · ⭐ 151

    Code Mode inspired local sandboxed MCP Gateway - collapses N servers x M tools into 2 tools (~1,000 tokens)

  • roampal-core by roampal-ai · ⭐ 51

    Outcome-based persistent memory MCP server for Claude Code and OpenCode. Good advice promoted, bad advice demo

  • mcp-fusion by vinkius-labs · ⭐ 204

    MCP Fusion - The framework for AI-native MCP servers.

  • mcp by taskade · ⭐ 164

    🤖 Taskade MCP · Official MCP server and OpenAPI to MCP codegen. Build AI agent tools from any OpenAPI API and

  • gopher-mcp by GopherSecurity · ⭐ 149

    C++ MCP SDK - build Model Context Protocol (MCP) servers and clients in C++ / CPP. Enterprise-grade security,

  • pdf-mcp by jztan · ⭐ 147

    MCP server that lets Claude Code and other AI agents read and search large PDFs, one file or a whole folder: a

More MCP Server Tools

Explore other popular mcp server tools:

View all MCP Server tools →

Popular Python Agent Tools

Frequently Asked Questions

What is blender-ai-mcp?

blender-ai-mcp is Production-shaped MCP server for Blender with goal-first routing, curated tools, deterministic verification, and vision-assisted 3D modeling workflows.. It is categorized as a MCP Server with 54 GitHub stars.

What programming language is blender-ai-mcp written in?

blender-ai-mcp is primarily written in Python. It covers topics such as 3d-modeling, ai-agents, ai-tools.

How do I install or use blender-ai-mcp?

You can find installation instructions and usage details in the blender-ai-mcp GitHub repository at github.com/PatrykIti/blender-ai-mcp. The project has 54 stars and 14 forks, indicating an active community.

What license does blender-ai-mcp use?

blender-ai-mcp is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to blender-ai-mcp?

The top alternatives to blender-ai-mcp on Agent Skills Hub include forgemax, roampal-core, mcp-fusion. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

View on GitHub → Browse MCP Server tools