AutoCAD MCP Server
Enables natural language control of AutoCAD drawings via LLMs like Claude, supporting drawing, layer management, and SQLite-backed entity analysis.
README
AutoCAD MCP 服务器 / AutoCAD MCP Server
⚠️ 本项目目前维护精力有限,欢迎有兴趣的开发者参与协作!
⚠️ Currently this project is not actively maintained due to time constraints. I would be very happy to collaborate with anyone interested in co-maintaining or extending it.
基于 Model Context Protocol (MCP) 的 AutoCAD 集成服务器,允许通过 Claude 等大型语言模型 (LLM) 与 AutoCAD 进行自然语言交互。
An AutoCAD integration server based on Model Context Protocol (MCP), enabling natural language interaction with AutoCAD via large language models like Claude.
🔗 项目在 MseeP.ai 展示 / Referenced on MseeP.ai:
https://mseep.ai/app/zh19980811-easy-mcp-autocad
✨ 功能特点 / Features
- 🗣️ 自然语言控制 AutoCAD 图纸 / Natural language control of AutoCAD drawings
- ✏️ 基础绘图功能(线条、圆)/ Basic drawing tools (line, circle)
- 📚 图层管理 / Layer management
- 🧠 自动生成 PMC 控制图 / Auto-generate PMC control diagrams
- 🔍 图纸元素分析 / Drawing element analysis
- 🔦 文本高亮匹配 / Highlight specific text patterns
- 💾 内嵌 SQLite 数据库存储 CAD 元素 / Integrated SQLite storage for CAD elements
🖥️ 系统要求 / System Requirements
- Python 3.10+
- AutoCAD 2018+ (需支持 COM 接口 / with COM interface support)
- Windows 操作系统 / Windows OS
⚙️ 安装步骤 / Installation
1. 克隆仓库 / Clone the repository
git clone https://github.com/yourusername/autocad-mcp-server.git
cd autocad-mcp-server
2. 创建虚拟环境 / Create virtual environment
Windows:
python -m venv .venv
.venv\Scripts\activate
macOS / Linux:
python -m venv .venv
source .venv/bin/activate
3. 安装依赖 / Install dependencies
pip install -r requirements.txt
4. (可选)构建可执行文件 / (Optional) Build as executable
pyinstaller --onefile server.py
🚀 使用方法 / How to Use
独立运行服务器 / Run server independently
python server.py
集成 Claude Desktop / Integrate with Claude Desktop
编辑配置文件 / Edit config file:
Windows 路径 / Config path on Windows:
%APPDATA%\Claude\claude_desktop_config.json
推荐配置 (源码运行) / Recommended Config (Run from source):
💡 请将
path/to/project替换为您实际的项目绝对路径。 💡 Please replacepath/to/projectwith your actual absolute project path.
{
"mcpServers": {
"easy-autocad": {
"command": "C:/path/to/project/.venv/Scripts/python.exe",
"args": [
"C:/path/to/project/server.py"
]
}
}
}
注意 / Note:
- 请使用正斜杠
/或双反斜杠\\作为路径分隔符。python.exe必须指向.venv虚拟环境中的解释器。
🧰 工具 API / Available API Tools
| 功能 / Function | 描述 / Description |
|---|---|
create_new_drawing |
创建新的图纸 / Create a new drawing |
draw_line |
画直线 / Draw a line |
draw_polyline |
画多段线 / Draw a polyline |
draw_rectangle |
画矩形 / Draw a rectangle |
draw_circle |
画圆 / Draw a circle |
draw_text |
添加文字 / Add text annotation |
create_layer |
创建或修改图层 / Create or modify layer |
move_entity |
移动实体 / Move entity |
rotate_entity |
旋转实体 / Rotate entity |
copy_entity |
复制实体 / Copy entity |
highlight_entity |
高亮显示实体 / Highlight entity |
highlight_text_matches |
高亮显示匹配文本 / Highlight matching text |
scan_all_entities |
扫描并入库 / Scan and save entities |
count_text_patterns |
统计文本模式 / Count text patterns |
execute_query |
执行SQL查询 / Execute SQL query |
🙋♂️ 维护状态 / Maintenance Notice
⚠️ 当前我正忙于其他项目,维护精力有限。欢迎 Fork 项目或提交 PR,一起完善 AutoCAD 智能交互生态!
⚠️ I'm currently busy and not able to actively maintain this repo. PRs and collaborators are welcome!
📬 联系我 / Contact: 1062723732@qq.com
Made with ❤️ for open-source learning.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

