AI coding agents typically operate on code repositories, but engineering projects often require context from CAD files. This guide explores using GitMCP to bridge that gap, allowing agents to read CAD documents directly. The integration enables more informed code generation for tasks like firmware development, hardware abstraction layers, or simulation scripts. Key steps include setting up the MCP server, configuring access to CAD repositories, and handling file format conversions. While the setup requires some initial effort, the payoff is significant for teams where code and design files are tightly coupled. This pattern also points to a broader trend of MCP expanding beyond code into diverse data sources.
Learn how GitMCP enables AI coding agents to access CAD documents, improving context for engineering-focused code generation.