AIBase
EN
Explore
Bonsai BIM (Blender IFC)
B

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
6.4K
Open Site

Overview

Installation

Content Details

Alternatives

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 information
Get overview information about the IFC project, including the name, description, and the quantity of various entities.
List specific types of IFC entities
List specific elements in the model according to the specified type (such as walls, doors, windows, etc.).
Get entity properties
Retrieve the complete properties of an entity through the GlobalID.
Get the spatial structure
Show the hierarchical structure of the model, such as sites, buildings, and floors.
Relationship analysis
Analyze the relationship between an entity and other elements.
Execute Blender code
Run custom Python scripts in Blender.
Sequential thinking tool
Solve problems step by step, suitable for complex analysis tasks.
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 model
Analyze an IFC model and count the number of walls, doors, and windows.
Case 2: Generate a maintenance plan
Use 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.

Alternatives

M
MCP
The Microsoft official MCP server provides search and access functions for the latest Microsoft technical documentation for AI assistants
9.1K
5 points
A
Aderyn
Aderyn is an open - source Solidity smart contract static analysis tool written in Rust, which helps developers and security researchers discover vulnerabilities in Solidity code. It supports Foundry and Hardhat projects, can generate reports in multiple formats, and provides a VSCode extension.
Rust
5.9K
5 points
D
Devtools Debugger MCP
The Node.js Debugger MCP server provides complete debugging capabilities based on the Chrome DevTools protocol, including breakpoint setting, stepping execution, variable inspection, and expression evaluation.
TypeScript
5.4K
4 points
S
Scrapling
Scrapling is an adaptive web scraping library that can automatically learn website changes and re - locate elements. It supports multiple scraping methods and AI integration, providing high - performance parsing and a developer - friendly experience.
Python
7.9K
5 points
M
Mcpjungle
MCPJungle is a self-hosted MCP gateway used to centrally manage and proxy multiple MCP servers, providing a unified tool access interface for AI agents.
Go
0
4.5 points
C
Cipher
Cipher is an open-source memory layer framework designed for programming AI agents. It integrates with various IDEs and AI coding assistants through the MCP protocol, providing core functions such as automatic memory generation, team memory sharing, and dual-system memory management.
TypeScript
0
5 points
N
Nexus
Nexus is an AI tool aggregation gateway that supports connecting multiple MCP servers and LLM providers, providing tool search, execution, and model routing functions through a unified endpoint, and supporting security authentication and rate limiting.
Rust
0
4 points
S
Shadcn Ui MCP Server
An MCP server that provides shadcn/ui component integration for AI workflows, supporting React, Svelte, and Vue frameworks. It includes functions for accessing component source code, examples, and metadata.
TypeScript
12.2K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
14.8K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
24.8K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
15.6K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
43.6K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
20.3K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
44.6K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
15.0K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
29.4K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
English简体中文繁體中文にほんご
© 2025AIBase