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Blender Mcp Senpai

Blender Mcp Senpai

Local
github.com/xhirogaMedia & Design8Updated 58w ago

About Blender Mcp Senpai

Blender Mcp Senpai is an AI-assisted Blender add-on that flags n-gons and topology issues and provides suggestions from ChatGPT, Claude, or Gemini. It installs in Blender without requiring an external MCP server.

Key features

  1. 01Highlight n-gons automatically
  2. 02Detect topology issues
  3. 03Get AI improvement suggestions
  4. 04Run without an external MCP server

Use cases

  1. 01Check models for n-gons
  2. 02Spot mesh topology problems
  3. 03Improve models using AI suggestions

MCP support

The project says no external MCP server is required; its README also provides an MCP server configuration example for use with Claude, Cline, and Roo Code.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"blender-mcp-senpai": {
"command": "npx",
"args": [
"-y",
"supergateway"
]
}
}
}
Run commandnpx -y supergateway

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npmsupergateway

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Blender Senpai Logo

Blender MCP Senpai

Your AI-assisted mentor for Blender.

CI Blender 4.2+ GPL-3.0 Sponsor Discord


Feedback welcome! Feel free to open an Issue or join our Discord


✨ TL;DR

  • Instantly detects and highlights n-gons and topology issues
  • ChatGPT / Claude / Gemini offer real-time improvement suggestions
  • Zero-setup: just install the add-on — no external MCP server required

🚀 Features

FeatureStatus
✅Auto n-gon Highlight – instantly spot topology issuesImplemented
✅AI Comments – ChatGPT / Claude / Gemini suggest improvementsImplemented
✅Zero Configuration – works out-of-the-box, no external MCP clientImplemented
🚧Asset Store IntegrationPlanned

📺 Demo

Blender Senpai Demo


🛠️ Quick Start

Install Blender Senpai Demo

To Blender
  • Open Blender
  • Go to Edit > Preferences > Get Extensions > Repositories > + > Add Remote Repository
  • Add https://xhiroga.github.io/blender-mcp-senpai/extensions/index.json
  • Search Blender Senpai and install it
  • Add-ons > Blender Senpai > Enable it
To Claude, Cline, Roo Code

NOTE: After configuration, you need to restart the app. Especially on Windows, please terminate the process from Task Manager.

{
    "mcpServers": {
        "blender-senpai": {
            "command": "npx",
            "args": [
                "-y",
                "supergateway",
                "--sse",
                "http://localhost:13180/sse"
            ]
        }
    }
}
To Dive
{
  "mcpServers": {
    "blender-senpai": {
      "transport": "sse",
      "enabled": true,
      "command": null,
      "args": [],
      "env": {},
      "url": "http://localhost:13180/sse"
    }
  }
}

🔧 Development

See .github/pull_request_template.md.

Release
# Update version in `pyproject.toml`
uv run --env-file .env build.py
# Install extension to Blender and check if it works.
git add docs/extensions/index.json pyproject.toml uv.lock
./scripts/release.sh

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.