PTC Brings Natural Language AI to Onshape CAD Automation

PTC Bridges AI and CAD with Natural Language Interface

PTC has released a new capability that connects large language models directly to its Onshape cloud CAD platform, allowing engineers to create custom design automation tools through conversational AI rather than traditional programming.

The FeatureScript MCP Server, now available through Onshape Labs, integrates coding-focused AI models including Claude, ChatGPT, and Gemini with Onshape's FeatureScript programming language. Engineers can describe desired CAD functionality in natural language, and the AI assists in building, testing, debugging, and refining the custom feature until it performs as specified.

How the Technology Works

Built on the Model Context Protocol (MCP), the new server creates a direct connection between AI language models and Onshape's FeatureScript code environment. FeatureScript itself is Onshape's proprietary programming language designed for CAD automation, enabling companies to codify engineering knowledge, automate repetitive design work, and develop custom tools matched to specific workflows.

The MCP Server extends these capabilities by removing the coding barrier. Instead of writing FeatureScript manually, engineers can articulate what they need in plain language and let AI handle the technical implementation.

Why it matters

This release addresses a persistent challenge in engineering organizations: valuable design knowledge often remains locked in the expertise of individual engineers rather than being captured as reusable tools. By lowering the technical barrier to creating custom CAD features, PTC enables more engineers to contribute to automation efforts regardless of their programming skills. The approach also reduces ongoing AI costs since custom tools can be reused without repeated prompting or continuous AI interaction.

Strategic Benefits for Engineering Teams

According to PTC, the FeatureScript MCP Server helps organizations in three key areas. First, it democratizes automation by making custom feature creation accessible to engineers who lack coding experience. Second, it facilitates knowledge capture by converting proven design practices into shareable, reusable tools that can be deployed across teams and projects. Third, it generates tangible value from AI investments by creating persistent engineering toolsets that don't require ongoing AI subscription costs for repeated use.

Broader Product Lifecycle Context

The new capability fits within PTC's Intelligent Product Lifecycle strategy, which aims to help manufacturers establish robust product data foundations, extend that data across enterprise systems, and apply AI to product development workflows. PTC positions broader product data utilization as a path to faster time-to-market, better management of product complexity, and improved regulatory compliance.

The FeatureScript MCP Server is currently available through Onshape Labs, PTC's experimental features program. Additional information is available at ptc.com.

These details were first reported by Engineering.com.