One Shot Ui
Extract UI structure deterministically and diff screenshots so agents catch visual regressions before ship.
Overview
One Shot UI is a MCP server for the Ship phase that deterministically extracts UI and diffs screenshots for coding agents.
What is this MCP server?
- Deterministic UI extraction for stable agent comparisons
- Screenshot diffing tailored to AI coding agent workflows
- npm one-shot-ui 0.7.0 stdio MCP via `one-shot-ui mcp`
- Lightweight setup without external observability or DB requirements
- Fits pre-release UI polish for solo frontend ships
- npm package one-shot-ui version 0.7.0 with stdio transport launched via positional `mcp` argument
Community signal: 2 GitHub stars.
What problem does it solve?
Agent-driven UI edits look fine in chat but silently break layout and pixels between iterations.
Who is it for?
Solo frontend builders who want a low-friction visual QA MCP step before release.
Skip if: Teams needing semantic design libraries, pgvector search, or full observability suites.
What do I get? / Deliverables
You get deterministic structure extraction and screenshot diffs your agent can use as a visual regression check.
- Deterministic UI structure snapshots for agent reasoning
- Screenshot diff results highlighting visual changes
- Repeatable visual QA step in the agent ship checklist
Recommended MCP Servers
Journey fit
How it compares
Deterministic UI diff MCP, not a 26-tool design analysis platform.
Common Questions / FAQ
Who is One Shot UI for?
Indie developers using AI agents on frontend work who need reliable UI extraction and screenshot comparison.
When should I use One Shot UI?
Use it in Ship/testing after UI changes to verify rendered output against a baseline before merge or deploy.
How do I add One Shot UI to my agent?
Install npm one-shot-ui, register stdio with positional args `mcp`, and connect from Claude Code, Cursor, or another MCP client.