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ifc-bonsai-mcp
An MCP server that connects LLMs to IFC-based BIM workflows in Blender using the Bonsai add-on.
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What's in it
- Data offered docs-verified
- IFC element creation and editing (walls, doors, roofs, stairs) within Blender · IFC scene and object inspection · Trimesh-based procedural geometry converted to IFC elements · IFC/IfcOpenShell knowledge search (RAG)
- Formats docs-verified
- IFC
- Access llm-inferred
- Open source, MIT licence (per metadata); no credentials documented in README. Requires a local install of Blender 4.4+ with the Bonsai add-on 0.8.2+ and Python 3.10+.
Useful for
- Use cases llm-inferred
- Parametric wall, slab and roof creation in an IFC model from natural-language prompts · Scene and object property review of an IFC model via get_ifc_scene_overview and get_object_info · Converting Trimesh-generated custom geometry into native IFC elements for civils BIM models · Screenshot-based QA of BIM model state in Blender
- Audience llm-inferred
- BIM/civils engineers · BIM coordinators · architects
Limitations
- Constraints llm-inferred
- Requires a local Blender 4.4+ installation with the Bonsai add-on and the BlenderMCP add-on connected · An empty IFC file must be saved before operations, otherwise changes do not reach the Blender scene · The general execute_code tool is unreliable for IFC operations and may be disabled · Knowledge base features need a local ChromaDB index and an embedding server · The author points users to a newer repository (bonsai-mcp) with a stronger code-generation focus, so this repo may receive less maintenance · Not an official Blender, Bonsai or IfcOpenShell project
- Licence
- MIT
- Authentication
- No credentials documented in README
- GitHub stars
- 66
- Last commit
- 10/07/2026
- Last successful page check
- 14/10/2026
- Page health
- healthy
- Package
- Not recorded
- Verification
- Not independently verified
Provenance & evidence
Tools/install/auth auto-extracted from README; quality score heuristic (stars, recency, tool count, licence).
Metadata observed 15/10/2026 · research sweep: github-search