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Paper is a collaborative design canvas built on HTML/CSS, where designers work alongside AI coding agents.
Product ManagementPublic web research
Snapshot
Continue to About ↓- What it does
- Paper is a collaborative design canvas built on HTML/CSS, where designers work alongside AI coding agents.
More detail
- Agents connect through an MCP server to read and write design files, sync tokens and components with a codebase, and pull real content in, and designs export as code.
- Best for
- Product and interface design teams that already use AI coding agents such as Claude Code, Cursor, Codex, Copilot or VS Code and want design and code kept in one shared, agent-readable layer.
More detail
- Teams that need unlimited free collaborators also fit, since the free plan includes unlimited viewers and editors.
- Pricing
- Paper earns money through per-editor Pro seats and custom Organization contracts; it does not charge spreads, commissions or transaction fees.
More detail
- Free is $0 with unlimited viewers and editors, 100 MCP tool calls per week, limited image generation and a 25 MB maximum image size.
- Pro is $20 per editor pe
- Main limitation
- Teams running heavy agent-driven workflows on the free plan, which is capped at 100 MCP tool calls per week.
More detail
- Organizations needing SSO, admin controls or dedicated support must move to the unpriced Organizations tier, and anyone needing CSS Grid, component slots or native Tailwind support should note these are still roadmap items rather than shipped features.
- Record
- Living and monitored
- Reviewed
- Evidence
- Public web research
- Machine access
- Structured profile ↗
About
- Paper is a collaborative design canvas built on HTML/CSS, where designers work alongside AI coding agents.
- Agents connect through an MCP server to read and write design files, sync tokens and components with a codebase, and pull real content in, and designs export as code.
What it helps with
- Design-to-code handoff loses fidelity; Paper's HTML/CSS canvas is designed so designs export as code
- Design tokens, styles and components drift between the design file and the codebase; agents sync them in both directions
- Designs are built with placeholder text instead of real content; agents can pull content from files, CMS, databases, too
- Repetitive work such as responsive variants, style variations and consistency checks consumes designer time
- Agents interact with design tools inefficiently; Paper argues HTML/CSS is better understood by LLMs, a first-party claim
Capabilities
A practical view of what is available and where limitations apply.
| Offering | Available | Detail |
|---|---|---|
| MCP server for AI agents | Yes | Agents can read and write Paper files through MCP to generate layouts, pull in real content or turn a selected frame into code |
| Named agent integrations | Yes | Documented setup for Claude and Claude Code, Codex, Cursor, OpenCode, Antigravity, GitHub Copilot app and VS Code, plus manual stdio config for others |
| HTML/CSS canvas with code export | Yes | Designs are built on web standards and export as code, per the official site |
| Free plan with unlimited editors | Yes | Free tier includes unlimited viewers and editors at no cost |
| MCP tool call allowance | Limited | 100 calls per week on Free, 1M per week on Pro |
| Image generation | Limited | Limited on Free, 100x more per week on Pro, with 25 MB versus 100 MB maximum image size |
| Video export | Limited | Pro-only per the pricing page |
| SSO, admin controls and dedicated support | Limited | Gated behind the Organizations plan, whose price is not published |
| CSS Grid, component slots and native Tailwind | No | Listed as planned or coming soon on the vendor roadmap rather than shipped |
| Independent third-party reviews or reliability audits | Unknown | None found in the sources reviewed; vendor-reported growth metrics are not independent validation |
Bot trust
How confidently AI systems can verify this profile from public evidence.
—of 100
ChatGPT—/100
Claude—/100
This profile has not completed a Bot Score assessment yet.
Evidence
Where this record came from, when it was reviewed, and how confidently it can be used.
- Verification
- Scribble researched these facts from the linked public sources.
- The owner has not manually confirmed every field.
- Last reviewed
- Primary source
- paper.design
Technical profile details
Record ID
b7926991-84c3-4054-affb-537f81c68fc1Canonical URLhttps://profiles.scribble.network/listing/paper-b7926991