by daobataotie · MCP Server · ★ 253
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CAD-MCP Server (CAD Model Context Protocol Server) English | 中文 Project Introduction CAD-MCP is an innovative CAD control service that allows controlling CAD software for drawing operations through natural language instructions. This project combines natural language processing and CAD automation technology, enabling users to create and modify CAD drawings through simple text commands without manually operating the CAD interface. Features CAD Control Functions Multiple CAD Software Support: Supports mainstream CAD software including AutoCAD, GstarCAD (GCAD) and ZWCAD Basic Drawing Functions: Line drawing Circle drawing Arc drawing Rectangle drawing Polyline drawing Text addition Pattern filling Dimension annotation Layer Management: Create and switch layers Drawing Save: Save the current drawing as a DWG file Natural Language Processing Functions Command Parsing: Parse natural language instructions into CAD operation parameters Color Recognition: Extract color information from text and apply it to drawing objects Shape Keyword Mapping: Support recognition of various shape description words Action Keyword Mapping: Recognize various drawing and editing actions Demo The following is...
| Stars | 253 |
| Forks | 44 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 36.95/100 |
| Open Issues | 1 |
| Last Updated | 2025-07-21 |
| Created | 2025-03-24 |
| Platforms | mcp, python |
| Est. Tokens | ~367k |
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CAD-MCP is CAD MCP Server. It is categorized as a MCP Server with 253 GitHub stars.
CAD-MCP is primarily written in Python. It covers topics such as ai, cad, cadmcp.
You can find installation instructions and usage details in the CAD-MCP GitHub repository at github.com/daobataotie/CAD-MCP. The project has 253 stars and 44 forks, indicating an active community.
CAD-MCP is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to CAD-MCP on Agent Skills Hub include MCP-Bridge, context-space, mcp-client-for-ollama. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.