"Imagine that your Penpot file contains a full icon set in addition to the design itself, which uses some but not all of those icons. If you were to ask an AI such as Claude or Gemini to export only the icons that are being used, it wouldn't be able to do that. It's not able to interact with Penpot files."
"However, a Penpot MCP server can. It can perform a handpicked number of operations under set rules and permissions, especially since Penpot has an extensive API and even more so because it's open-source. The AI's job is simply to understand your intent, choose the right operation for the MCP server to perform (an export in this case), and pass along any parameters (i.e., icons that are being used). The MCP server then translates this into a structured API request and executes it."
Penpot MCP servers act as a secure bridge that lets external AI translate user intent into structured API requests that operate on Penpot design files. MCP servers can perform a chosen set of operations under defined rules and permissions, leveraging Penpot's extensive API and open-source code. AI provides intent and parameters while the MCP server selects and executes the appropriate API call, enabling tasks like exporting only used icons. The design-as-code approach allows programmatic creation, editing, and granular analysis of designs, offering more contextual and powerful operations than standalone LLM outputs.
Read at Smashing Magazine
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