Bonsai MCP
Connects MCP clients to a local Blender + Bonsai (BlenderBIM) session for scene inspection, IFC project querying, viewport screenshots, and executing Python code in Blender.
README
Bonsai MCP
A local Model Context Protocol server that connects any MCP client (Claude Desktop, Claude Code, Cursor, VS Code, OpenAI Codex) to a running Blender + Bonsai (BlenderBIM) session. Inspect the scene, query the loaded IFC project, capture the viewport, and run Python inside Blender.
MCP client --stdio--> bonsai-mcp --127.0.0.1:9878--> Blender add-on (bpy + Bonsai + IfcOpenShell)
This project is part of IFC-CoPilot: A Tool-Based Framework for LLM-Driven IFC Building Design and a more improved version of ifc-bonsai-mcp.
Requirements
- Blender 3.6+ (4.x recommended).
- Bonsai (BlenderBIM), only for the IFC tools. Install it from bonsaibim.org.
- uv, one-time install below. Runs the server and handles Python 3.10+ for you.
- git, to clone this repo. The server runs from your local checkout; it is not published to PyPI.
Setup (one-time)
Do these once. uv installs everything into the repo's own .venv the
first time you run it; nothing is installed globally, and nothing is
fetched from PyPI.
1. Install uv:
# macOS / Linux
curl -LsSf https://astral.sh/uv/install.sh | sh
# Windows PowerShell
powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"
2. Clone this repo somewhere permanent, and note its full path; you point your MCP client at it below:
git clone https://github.com/show2instruct/bonsai-mcp.git
Quick start
1. Install the Blender add-on
- In Blender: Edit > Preferences > Add-ons. On Blender 4.2+/5.x, open the ▾ menu (top-right) > Install from Disk...; on older versions use the Install... button.
- Pick
blender_addon/bonsai_bridge.pyfrom the repo you cloned: that exact file, notscripts/package_addon.pyor the.zip. Then tick Bonsai MCP Bridge to enable it. - Open the sidebar (press N) > Bonsai MCP tab > Start Bridge.
It now listens on
127.0.0.1:9878.
2. Connect your client
Point your client at the folder you cloned. Everywhere below, replace
/path/to/bonsai-mcp with that path. On Windows in JSON, either use forward
slashes or double every backslash (C:\\Users\\you\\bonsai-mcp).
-
Claude Code:
claude mcp add bonsai-mcp -- uv run --directory /path/to/bonsai-mcp bonsai-mcp -
Claude Desktop, Cursor, VS Code, and other clients: add this to the client's MCP config, then restart the client:
{ "mcpServers": { "bonsai-mcp": { "command": "uv", "args": ["run", "--directory", "/path/to/bonsai-mcp", "bonsai-mcp"] } } }On Windows, if the client can't find
uv, use its full path as thecommand(e.g.C:\\Users\\you\\.local\\bin\\uv.exe).
uv run builds the project into the repo's .venv on first launch
(editable, so your local edits take effect on the next restart) and caches
it after that.
3. Verify
With Blender running and the bridge started, run this from inside the cloned folder:
uv run bonsai-mcp doctor
doctor pings the bridge and reports Blender / IfcOpenShell status and the
tools it exposes.
Per-client config paths, the Windows uv.exe path note, and optional
BONSAI_MCP_* settings are in docs/clients.md.
Example configs live in examples/; set the --directory
path to your clone.
Tools
Eight tools, each tagged [QUERY] (read-only) or [EDIT] (mutates state).
| Category | Tool | Purpose |
|---|---|---|
| QUERY | get_scene_info |
Scene summary plus an optional filtered object list. |
| QUERY | get_selected_objects |
Per-object info for the current selection. |
| QUERY | get_psets |
IFC property and quantity sets for one or many objects. |
| QUERY | get_viewport_screenshot |
Capture the viewport (aim with view/fit), plus structured viewport state. |
| QUERY | get_ifc_project_info |
Schema, counts, materials, classifications. |
| EDIT | execute_ifc_code |
Run IfcOpenShell / Bonsai API code. bpy blocked. |
| EDIT | execute_blender_code |
Run arbitrary Python with full bpy access. |
| EDIT | save_ifc_file |
Save in place, save-as (guarded), and optional viewport reload. |
Full reference with inputs, outputs, and examples: docs/tools.md.
Example prompt, with an IFC project open in Bonsai:
"List every wall in the model with its fire rating."
Safety
The bridge binds to 127.0.0.1 only and has no authentication, and
execute_blender_code runs arbitrary Python. Treat it like an open Python
REPL on your machine and never expose it to a network. See
docs/safety.md.
Documentation
- Installation
- Client setup (Claude, Cursor, VS Code, OpenAI)
- Tools reference
- Safety
- Troubleshooting
Contributing
Python 3.10+ and uv:
uv venv
uv pip install -e ".[dev]"
uv run ruff check src tests blender_addon scripts
uv run pytest
Add tests and docs for behavior changes. Report security issues privately through GitHub Security Advisories.
License
MIT. See LICENSE.
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