UI Verify MCP Server
io.github.igrlk/uiverify
Visual regression testing for coding agents: catch unintended UI changes on every PR.
What is the UI Verify MCP server?
UI Verify is a hosted visual-testing service that captures your UI, diffs it against a baseline in the cloud, and lets coding agents triage real regressions vs. cosmetic noise over MCP. It integrates with Storybook, Playwright, Vitest, or finished screenshots from native/mobile projects, and gates PRs on visual verdicts.
UI Verify automates visual regression testing by rendering components in the cloud, comparing them against baselines, and reporting results as GitHub checks. Coding agents can review diffs, accept new baselines, and triage changes without leaving the terminal via the MCP server.
How to install UI Verify
Copy-paste configuration for popular MCP clients.
AuthorizationrequiredsecretBearer token: your UIVERIFY_API_KEY from your uiverify.ai project setup page.
Tools & capabilities
Tools this server exposes to the agent.
list_builds— List recent UI Verify buildsget_build— Get what changed in a buildlist_build_stories— Page through a build's stories by statusget_pr_changeset— Get what a PR does to the UI vs its base branchlist_pr_stories— Page through the PR-vs-base changeset by kindget_diff— Per-story diff detail with image URLsrender_diff_image— Fetch the actual pixels of a story imagereview_diff— Accept, deny, or ignore one story's changeaccept_build— Accept every changed story in a build
Use cases
- Automatically detect unintended UI regressions on pull requests
- Let coding agents review and triage visual diffs without manual inspection
- Capture UI from Storybook, Playwright, Vitest, or native/mobile screenshots
- Gate PRs on visual verdicts with GitHub checks
- Accept new baselines in bulk from your coding agent
UI Verify MCP server FAQ
UI Verify is a hosted visual-testing service that renders your UI components in the cloud, diffs them against a baseline, and reports the verdict as a GitHub check. Coding agents can review the diffs and triage changes over MCP.
The README does not specify pricing. Visit uiverify.ai for details.
Run `claude mcp add --scope project --transport http uiverify https://uiverify.ai/api/mcp --header 'Authorization: Bearer ${UIVERIFY_API_KEY}'` with your API key. The server is remote (streamable HTTP) and requires no local installation.
You need a UIVERIFY_API_KEY from uiverify.ai. Set it as an environment variable or pass it in the MCP header.
Storybook stories (via `upload --static-dir`), Playwright tests (with @uiverify/playwright SDK), Vitest browser-mode tests (with @uiverify/vitest SDK), or finished screenshots from native/mobile/React Native projects (via `upload --screenshots`).
Yes. Run `uiverify check --story <pattern> --static-dir <dir>` to render only the stories you're touching and diff them against the CI baseline without posting a check or moving a baseline.
README (reference)
Source of truth, from the repository.
UI Verify
Visual testing for agents
Catch unintended UI changes on every pull request. UI Verify renders your components in the cloud, diffs them against a baseline, and lets a coding agent triage what actually changed.
uiverify.ai · GitHub · CLI · Playwright SDK · Vitest SDK · Skills
</div>What is UI Verify?
UI Verify is a hosted visual-testing service that plugs into your CI. On each PR it:
- Captures your UI, from Storybook stories, from your existing Playwright or Vitest browser-mode tests via a drop-in capture SDK, or from finished screenshots your own harness already produces (native, mobile, React Native) uploaded straight for diffing.
- Renders & diffs every state in the cloud against the baseline from your default branch.
- Reports the verdict back as a GitHub check, and gates the PR on it.
- Triages: a coding agent (Claude Code, Codex, and others) buckets real regressions vs. cosmetic noise and can accept new baselines in bulk, all over MCP.
This repository holds the open-source client packages, everything that runs in your repo. All rendering, diffing, and judging happens server-side; these packages only build a bundle, upload it over HTTP, and read back status, so each is safe to read, fork, and self-host against.
Quickstart
# 1. Install the CLI in your project
npm i -D uiverify
# 2. Point it at your account
export UIVERIFY_API_KEY=... # from uiverify.ai
# 3. Build your Storybook, then upload; the exit code reflects the visual verdict
npm run build-storybook
npx uiverify upload --static-dir storybook-static
Already have screenshots? If your harness already produces them (Detox, Maestro, native snapshot tests, anything), upload the PNGs directly, no Storybook and no rendering required. UI Verify diffs, judges, and baselines them just the same:
npx uiverify upload --screenshots ./screenshots
This is how native, mobile, and React Native projects use UI Verify: each image is keyed by its path under the directory, so a screen maps to the same baseline every build, and you can upload only the screens you changed and carry the rest forward.
Prefer to drive it from your agent? Install the skills (below) and run /uiverify:setup-visual-testing. It detects your capture path, wires CI, and writes the first stories for you.
Mid-edit checks for coding agents: uiverify check
While an agent is editing, it can render just the stories it is touching and diff them against the real CI baseline on the fleet - a "would this pass" answer without waiting for CI:
npm run build-storybook
npx uiverify check --story 'components-button--*' --static-dir storybook-static
It renders only the stories you name (repeatable --story, globs or exact ids), posts no PR check, and never moves a CI baseline. A changed result is informational (exit 0) - review the pixels over the UI Verify MCP (get_build / render_diff_image) and accept in the dashboard or with accept_build to set a branch-scoped preview baseline, so your own accepted changes stop re-flagging on the next check. CI stays the only path to a main baseline.
Packages
| Package | Install | What it does |
|---|---|---|
uiverify | npm i -D uiverify | The CLI. uiverify upload is the CI uploader (Storybook bundle, Playwright/Vitest archive, or a directory of finished screenshots) - streams render progress and reflects the visual verdict in its exit code. uiverify check is the agent edit-loop check - renders just the stories you name against the real CI baseline, without posting a check or moving a baseline. |
@uiverify/playwright | npm i -D @uiverify/playwright | The Playwright capture SDK. Swap @playwright/test for it and each test archives its final UI state (serialized DOM + resource bytes) for UI Verify to replay and diff. |
@uiverify/vitest | npm i -D @uiverify/vitest | The Vitest capture SDK. Add uiverifyPlugin() to your Vitest config and each browser-mode test archives its final DOM (serialized DOM + resource bytes) for UI Verify to replay and diff; takeSnapshot() takes named snapshots instead. |
@uiverify/skills | npx skills add, see below | Agent skills: SKILL.md workflows a coding agent runs in your repo to set up visual testing, author economical + deterministic stories, and triage builds. |
Agent skills
Install the skills into any coding agent with one command (skills.sh):
npx skills add uiverify/uiverify
Works in Claude Code, Cursor, Codex, Copilot, Gemini, and any agent that reads a skills folder. Add --list to pick individual skills, and run npx skills update to pull the latest.
Or, on Claude Code, install as a plugin so updates arrive automatically:
/plugin marketplace add uiverify/uiverify
/plugin install uiverify@uiverify
Either way, invoke them by name: /uiverify:setup-visual-testing, /uiverify:triage-visual-changes, and more. See packages/skills for the full list and a copy-in-by-hand alternative.
Triage over MCP
Connect the UI Verify MCP server and your coding agent (Claude Code, Cursor, Codex, and others) can pull a pull request's UI changes into the conversation, look at each diff, read the AI judge's verdict, and accept the intended baselines - without leaving the terminal.
claude mcp add --scope project --transport http uiverify https://uiverify.ai/api/mcp \
--header 'Authorization: Bearer ${UIVERIFY_API_KEY}'
--scope project writes it to your committed .mcp.json so the whole team gets it; the key is referenced as the UIVERIFY_API_KEY env var, never baked in. Your project setup page has this command with the key filled in. Full guide: Triage visual changes from your coding agent.
The server is remote (streamable HTTP) - there is nothing to install or run. It exposes:
| Tool | What it does |
|---|---|
list_builds | List recent UI Verify builds |
get_build | Get what changed in a build |
list_build_stories | Page through a build's stories by status |
get_pr_changeset | Get what a PR does to the UI vs its base branch |
list_pr_stories | Page through the PR-vs-base changeset by kind |
get_diff | Per-story diff detail with image URLs |
render_diff_image | Fetch the actual pixels of a story image |
review_diff | Accept, deny, or ignore one story's change |
accept_build | Accept every changed story in a build |
Examples
Complete, runnable projects under examples/ — one per capture path. Copy a folder, add a project API key, and it works.
| Example | Capture path |
|---|---|
examples/storybook | Storybook stories (no SDK, upload --static-dir) |
examples/vitest | Vitest browser-mode tests with @uiverify/vitest |
examples/playwright | Playwright end-to-end tests with @uiverify/playwright |
examples/react-native | Finished screenshots (native / mobile / React Native) with upload --screenshots |
The first three capture a slice of the same Shoppy storefront; the React Native one is a small Expo app driven by Maestro. Each folder has its own CI workflow.
Development
pnpm install
pnpm -r build # CLI builds dist/uiverify.js, playwright builds dist/
pnpm -r test
pnpm -r typecheck
The CLI requires UIVERIFY_API_KEY and talks to https://uiverify.ai by default (override with --api-url / UIVERIFY_API_URL for self-host or local dev). See each package's README and DEVELOPMENT.md for internals.
License
MIT © UI Verify
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