Penpot MCP is a revolutionary Model Context Protocol (MCP) server that bridges the gap between AI language models and Penpot, the open-source design and prototyping platform. This integration enables AI assistants like Claude (in both Claude Desktop and Cursor IDE) to understand, analyze, and interact with your design files programmatically.
🎯 Key Benefits
🤖 AI-Native Design Analysis: Let Claude AI analyze your UI/UX designs, provide feedback, and suggest improvements
⚡ Automated Design Workflows: Streamline repetitive design tasks with AI-powered automation
🔍 Intelligent Design Search: Find design components and patterns across your projects using natural language
📊 Design System Management: Automatically document and maintain design systems with AI assistance
🎨 Cross-Platform Integration: Works with any MCP-compatible AI assistant (Claude Desktop, Cursor IDE, etc.)
Overview
What is Penpot MCP?
Penpot MCP is a revolutionary Model Context Protocol (MCP) server that connects AI language models with Penpot, an open-source design and prototyping platform, allowing AI assistants to programmatically analyze and interact with design files.
How to use Penpot MCP?
To use Penpot MCP, install it via PyPI or from source, configure your Penpot credentials in a .env file, and run the MCP server using the command uvx penpot-mcp. You can then integrate it with AI assistants like Claude Desktop or Cursor IDE.
Key features of Penpot MCP?
- AI-Native Design Analysis: Analyze UI/UX designs and receive feedback.
- Automated Design Workflows: Streamline repetitive tasks with AI automation.
- Intelligent Design Search: Use natural language to find design components.
- Design System Management: Automatically document and maintain design systems.
- Cross-Platform Integration: Works with any MCP-compatible AI assistant.
Use cases of Penpot MCP?
- Automating design reviews for accessibility and usability.
- Generating documentation for design systems.
- Syncing design tokens and code components for developers.
- Enhancing collaboration through AI-powered feedback.
FAQ from Penpot MCP?
- Can Penpot MCP work with any AI assistant?
Yes, it is compatible with any MCP-compatible AI assistant like Claude Desktop and Cursor IDE.
- Is Penpot MCP free to use?
Yes, it is open-source and free to use.
- What are the prerequisites for using Penpot MCP?
You need Python 3.12+, a Penpot account, and optionally Claude Desktop or Cursor IDE for AI integration.
Server Config
{
"mcpServers": {
"penpot": {
"command": "uvx",
"args": [
"penpot-mcp"
],
"env": {
"PENPOT_API_URL": "https://design.penpot.app/api",
"PENPOT_USERNAME": "your_penpot_username",
"PENPOT_PASSWORD": "your_penpot_password"
}
}
}
}