Connect AI assistants like Claude to Penpot designs via Model Context Protocol for automated design workflows.
penpot-mcp is worth checking the docs before setup with trust notes worth reviewing. Check agent compatibility and use-case fit before adding it to your workflow.
Repository setup guidance
gh repo view montevive/penpot-mcp --webOpen the official repository or website.
Check the README for package manager, auth, and platform requirements.
Try it in a small test task inside your agent workflow.
Penpot MCP is a tool that lets AI assistants like Claude talk to Penpot, an open-source design platform. It helps designers and developers automate tasks like analyzing designs, finding components, and exporting assets. You can ask questions about your designs in plain English and get AI-powered insights.
Penpot MCP is a Model Context Protocol (MCP) server that bridges AI language models with Penpot, the open-source design and prototyping platform. It enables AI assistants like Claude (in Claude Desktop and Cursor IDE) to understand, analyze, and interact with design files programmatically. Key features include real-time design access via Penpot's API, component analysis, export automation, design validation, and natural language queries. Use cases include design review automation, component documentation, design-to-code workflows, and automated testing. The tool is built with Python and provides CLI utilities, a Python SDK, and REST API for custom integrations. It supports MCP-compatible AI assistants and is extensible via plugins.
Looks usable, but maintenance, license, or security notes deserve a closer look.
Last commit was about 268 days ago.
228 GitHub stars indicate community interest.
15 open issues signal maintenance load.
No license detected; review before production use.
Automate design reviews by getting AI feedback on accessibility and usability.
Generate documentation for design systems automatically.
Search for design components using natural language queries.
Export design assets programmatically in multiple formats.
Bridge design and development with AI-assisted design-to-code workflows.
Requires API access to Penpot; ensure secure handling of API tokens.
AI analysis may misinterpret complex designs; always verify critical outputs.
Potential data exposure if design files contain sensitive information.
228
Stars
27
Forks
15
Issues
Extract any website's complete design system with one command.
Argos is an open source visual testing platform that detects unintended UI changes to help teams maintain quality.
Generate design system documentation for UI components directly from your AI agent, rendering into Figma or portable .md files.
Connect AI assistants like Claude to Penpot designs via Model Context Protocol for automated design workflows.
UI/UX designers who want AI-powered design analysis and automation., Frontend developers integrating design data into development workflows., Design system managers maintaining consistency across projects.
The setup section provides repository-level starting guidance, not a guarantee of an independently verified installation. Check the official README and release notes.
Requires API access to Penpot; ensure secure handling of API tokens. AI analysis may misinterpret complex designs; always verify critical outputs.
Similar or complementary options to evaluate include design-extract, Argos, uSpec.
Jun 7, 2026
3 security/trust notes recorded.
Setup difficulty is 3/5.