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Bonsai BIM (Blender IFC)
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Bonsai BIM (Blender IFC)

Bonsai - mcp is a Blender plugin that implements the analysis and operation of IFC building models through IfcOpenShell, supporting the execution of building information model query tasks through interaction with LLMs such as Claude.
Developer toolsImage and video processing#Building Information Modeling#Blender Plugin#IFC Analysis#AI Interaction.Python
2.5 points
30

What is Model Context Protocol (MCP)?

MCP is a JSON-based protocol server that enables interaction between models and contexts through TCP sockets. It allows users to control modeling tools such as Blender and IFC models through natural language or programming. MCP supports powerful functions, including analyzing building elements, executing code, and generating maintenance plans.

How to use MCP?

First, install and enable the MCP plugin in Blender, then start the MCP server through the configuration file. Next, connect to the server in MCP-supported tools (such as Claude) and send requests.

Applicable scenarios

MCP is suitable for Building Information Modeling (BIM), design optimization, energy analysis, and the management and maintenance of building elements.

Main Features

Get project informationGet overview information about the IFC project, including the name, description, and the quantity of various entities.
List specific types of IFC entitiesList specific elements in the model according to the specified type (such as walls, doors, windows, etc.).
Get entity propertiesRetrieve the complete properties of an entity through the GlobalID.
Get the spatial structureShow the hierarchical structure of the model, such as sites, buildings, and floors.
Relationship analysisAnalyze the relationship between an entity and other elements.
Execute Blender codeRun custom Python scripts in Blender.
Sequential thinking toolSolve problems step by step, suitable for complex analysis tasks.

Advantages and Limitations

Advantages
Support various modeling tasks, such as IFC model analysis and visualization
Be compatible with mainstream modeling tools (such as Blender)
Have sequential thinking functions, suitable for complex tasks
Be open-source and flexible, facilitating secondary development
Limitations
Require a certain technical background to set up and run
Complex models may require step-by-step operations
Have security risks in executing code

How to use

Install the Blender plugin
Download and install the Blender plugin, and ensure it is enabled.
Start the MCP server
Run the uv command in the terminal to start the server.
Configure Claude
Edit the Claude configuration file and add the MCP server address.
Send requests
Enter natural language queries in Claude and wait for responses.

Usage examples

Case 1: Analyze the building modelAnalyze an IFC model and count the number of walls, doors, and windows.
Case 2: Generate a maintenance planUse the sequential thinking tool to generate a maintenance plan for the building.

Frequently Asked Questions

How to solve the problem of connection failure?
How to handle performance issues with complex models?
What should be noted when executing code?

Related Resources

MCP official documentation
Understand the core functions and usage methods of the MCP protocol
Blender plugin installation guide
View how to install and configure the plugin
Bonsai BIM module
Explore the functions of the Bonsai BIM module
Installation
Copy the following command to your Client for configuration
{
    "mcpServers": {
        "Bonsai-mcp": {
            "command": "uv",
            "args": [
              "--directory",
              "\\your\\path\\to\\Bonsai_mcp",
              "run",
              "tools.py"
          ]
        }
    }
}
Note: Your key is sensitive information, do not share it with anyone.
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