AI-SolidWorks MCP Server

@sina-salim

代码仓库

基本信息

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其他

传输方式

stdio

作者

sina-salim

关于 AI-SolidWorks MCP Server

the first local gui mcp server for SolidWorks

AI-SolidWorks MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "AI-SolidWorks": {
      "command": "python",
      "args": [
        "sw_api_panel.py"
      ]
    }
  }
}

AI-SolidWorks MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is 🛠️ AI-SolidWorks?

🛠️ AI-SolidWorks is an intelligent interface between users and SolidWorks software that enables control and shape creation using natural language commands in both Persian and English. It uses advanced AI models to understand commands and automatically generates VBS scripts for execution in SolidWorks.

How to use 🛠️ AI-SolidWorks?

Clone the repository, install dependencies with pip install -r requirements.txt, and run python sw_api_panel.py. Enter your API key (OpenAI or OpenRouter) in the .env file or through the UI's "API Settings" button, then send natural language design commands such as "Draw a circle" or "Create a rectangle with 40 meters sides."

Key features of 🛠️ AI-SolidWorks

Natural language communication in Persian and English
AI-powered command understanding and script generation
Automatic VBS script creation for SolidWorks
User-friendly graphical interface with dark theme
Supports OpenAI and OpenRouter AI services

Use cases of 🛠️ AI-SolidWorks

Drawing basic shapes like circles, rectangles, and lines from natural language
Creating parametric sketches based on user dimensions
Extruding sketches to produce 3D features
Automating SolidWorks workflows via conversational commands

常见问题

What AI services are supported?

🛠️ AI-SolidWorks is compatible with OpenAI and OpenRouter services. You must provide your own API key.

What are the system requirements?

Python 3.8+, a working installation of SolidWorks, and Windows operating system are required.

How do I install and run the server?

Clone the repository, run `pip install -r requirements

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