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Collaboratively design, edit, and export web pages on an infinite canvas.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "pulp" yet — see the docs or source repo.
Create a product landing page prototype on the infinite canvas using real HTML/CSS. Build a hero section, feature section, and call-to-action, then organize it as an exportable web document.
A web page structure that can be further edited on the canvas and exported as a web document.
Read the current web document and restyle it into a clean dark theme. Adjust heading hierarchy, button styles, and spacing while preserving the original content structure.
An updated HTML/CSS page version based on the original document.
Prepare the web design on the canvas as a final version, review the document structure, and export it for developer handoff or further publishing.
A finalized and exportable web document output.
Designers can use it when they need to rapidly iterate on page layout and styling, letting AI edit real HTML/CSS on an infinite canvas. This supports continuous changes to both structure and visual presentation.
Developers or product managers can turn page ideas into real web documents and export them for downstream use. It fits workflows that need to move quickly from concept to editable web prototypes.
It is an MCP tool that lets AI agents collaboratively design and edit web pages on an infinite canvas. It uses real HTML/CSS and provides tools to read, mutate, and export documents.
Based on the description, it works with real HTML/CSS to design and edit web documents. The exported result is also in web document form.
The provided material does not include installation steps, runtime requirements, or key prerequisites. See the source repository for details.
Generate and refine UI designs on a live canvas with collaborative AI agents.
Generate editable PPTX decks with AI for template filling, visual reconstruction, and enhancements.
Publish HTML and Markdown as live links and manage pastes easily.
Let AI agents visually test frontend apps with screenshots, clicks, and logs.
Manage terminal tasks through MCP so AI agents can create and track work.
Enable secure mesh-network communication between AI agents with chats and invite-only access.