Penpot Experiments with MCP Servers for AI-Powered Design Workflows
By
[email protected] (Daniel Schwarz)
Fresh out the oven, still warm. Top of the tray.
Summary
Penpot, an open-source design tool, is experimenting with MCP (Model Context Protocol) servers to integrate AI capabilities into design workflows. This would allow designers and developers to use AI assistants like Claude or Gemini to understand and interact with Penpot design files directly. The article explains how MCP servers work, their potential applications (such as exporting specific icons from a design file), and invites community participation in shaping this development.
Key quotes
· 4 pulledPenpot is experimenting with MCP (Model Context Protocol) servers, which could lead to designers and developers being able to perform tasks in Penpot using AI that's able to understand and interact with Penpot design files.
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 actually used in the design, the AI would be able to understand the file structure and perform that task.
Daniel Schwarz explains how Penpot MCP servers work, what they could mean for creating and managing designs in Penpot, and what you can do to help shape their development.
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