PTC’s Onshape FeatureScript MCP Server Delivers AI Text-to-Code-to-CAD

By Chad Cox

Production Editor

Embedded Computing Design

August 14, 2026

News

PTC’s Onshape FeatureScript MCP Server Delivers AI Text-to-Code-to-CAD
Image Credit: PTC

Now available from PTC is the new FeatureScript MCP Server capability in its Onshape CAD and PDM platform. The capability allows designers to produce custom CAD features using natural language and AI and is offered via PTC’s Onshape Labs initiative. When engineers describe a functionality needed, AI automatically helps build, test, debug, and refine the custom feature in FeatureScript until it functions as envisioned.

"The future of AI in CAD is not simply text-to-CAD, but text-to-code-to-CAD," said David Katzman, EVP and General Manager of Onshape and Arena at PTC. "The real value of AI is helping engineers turn proven ideas into tools they can use again and again. With the new FeatureScript MCP Server, Onshape has become the most customizable production CAD system, empowering all users to build engineering capabilities tailored to their company's products and processes. "

According to the press release, FeatureScript is Onshape's exclusive programming language for CAD automation that enables users to capture engineering know how, automate repetitive design tasks, and create custom design tools tailored to specific workflows. The FeatureScript MCP Server extends those capabilities to coding LLMs such as Claude, ChatGPT, and Gemini. Being built on the Model Context Protocol (MCP) allows engineers to connect AI directly with Onshape FeatureScript code. 

Benefits:

  • Expand access to automation by allowing engineers to create custom CAD features using natural language rather than code
  • Capture and scale engineering knowledge by turning proven design practices into reusable tools that can be shared across teams and projects
  • Generate lasting value from AI by creating custom engineering tool sets that can be reused without repeated prompting, ongoing AI interactions, or recurring AI costs

For more information, visit ptc.com.

Chad Cox is the Production Editor at Embedded Computing Design. His responsibilities are centered around content creation, writing and editing, and article research and development. Chad covers industry news and events and is known to interact with various industrial leaders via on-premise visits and online interviews. He is responsible for the digital footprint and dissemination of news via social media posts, advertising creation and the production of newsletters including the Embedded Computing Design’s Daily.

He is well versed in many facets of industrial computing including Edge AI, IoT, Processing, Security, Open Source, and more.

Chad graduated from the University of Cincinnati with a B.A. in Cultural and Analytical Literature and holds a master’s in education.

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