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PopNx MCPMCP servers for people who use AI · explained in plain words

UI Verify

by uiverifyversion 1.2.0i★ –iRuns in the cloud
Registry nameio.github.igrlk/uiverify

Install

Overview

Description from the maker (original English)

Visual testing for coding agents: your agent sees every UI change it makes and triages each diff.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 0 of 1 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • The registry lists no key to fill in.

You need

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://uiverify.ai/mcp

Run this in your terminal

claude mcp add --transport http uiverify https://uiverify.ai/mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "uiverify": {
      "url": "https://uiverify.ai/mcp"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "uiverify": {
      "type": "http",
      "url": "https://uiverify.ai/mcp"
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://uiverify.ai/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

  • ! Caution

    Maker matches the repo

    The publisher (igrlk) is not the repo owner (uiverify); someone else may have listed it

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • … Not checked yet

    Endpoint responds

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    Sign-in with OAuth

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Otheri

  • More stars than 0% of the other 32435 servers in this category
  • Published to the registry more recently than 76% of the other 32435 servers in this category
  • Basic checks equal to or better than 34% of the other 32435 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is UI Verify safe?

It passed 0 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.2.0) reached the registry 10 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Apify MCP Server

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated yesterday
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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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 · Bun SDK · Skills


What is UI Verify?

UI Verify is a hosted visual-testing service that plugs into your CI. On each PR it:

  1. Captures your UI, from Storybook stories, from your existing Playwright or Vitest browser-mode tests via a drop-in capture SDK, from visual tests on bun test with the Bun SDK, or from finished screenshots your own harness already produces (native, mobile, React Native) uploaded straight for diffing.
  2. Renders & diffs every state in the cloud against the baseline from your default branch.
  3. Reports the verdict back as a GitHub check, and gates the PR on it.
  4. 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 --target 'components-button--*' --static-dir storybook-static

It renders only the stories you name (repeatable --target, 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

PackageInstallWhat it does
[`uiverify`](packages/cli)npm i -D uiverifyThe CLI. uiverify upload is the CI uploader (Storybook bundle, Playwright/Vitest/Bun 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`](packages/playwright)npm i -D @uiverify/playwrightThe 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`](packages/vitest)npm i -D @uiverify/vitestThe 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/bun`](packages/bun)bun add -d @uiverify/bunThe Bun capture SDK. Write visual tests on bun test that drive your installed Chrome, and each test archives its final page (serialized DOM + resource bytes) for UI Verify to replay and diff; run() starts your app and runs the test files.
[`@uiverify/skills`](packages/skills)npx skills add, see belowAgent skills: SKILL.md workflows a coding agent runs in your repo to set up visual testing, author economical + deterministic stories, and triage builds. As a Claude Code or Cursor plugin, or a Gemini CLI extension, it also connects the UI Verify MCP server.
[`@uiverify/workflow-skills`](packages/workflow-skills)Claude Code plugin, see belowThe agentic-development loop we build UI Verify with: factory, design, review-loop, e2e-verify, babysit-pr, and the skills that tune it.
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.

On Gemini CLI, install the same skills plus the MCP server as an extension, then log in once:

gemini extensions install https://github.com/uiverify/uiverify

In a Gemini CLI session, run /mcp auth uiverify and log in to UI Verify in your browser.

The agentic-development loop we build UI Verify with (factory, design, review-loop, e2e-verify, babysit-pr) is a second plugin in the same marketplace: /plugin install uiverify-workflow@uiverify, then /uiverify-workflow:factory. See packages/workflow-skills.

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/mcp

If you installed the plugin above, it already connects this server, so skip the command and just log in from /mcp. Otherwise restart Claude Code after adding it, run /mcp, pick uiverify, and log in to UI Verify in your browser. You log in once and the connection reaches every project in every team you are a member of. --scope project writes it to your committed .mcp.json so the whole team gets it; the file holds no secret, since each teammate logs in with their own account. In Cursor, add { "mcpServers": { "uiverify": { "url": "https://uiverify.ai/mcp" } } } to .cursor/mcp.json and log in from its MCP settings. In Gemini CLI, the extension above connects it, and /mcp auth uiverify logs you 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:

ToolWhat it does
list_projectsList the projects you can access, with the projectId to pass when you have several
list_buildsList recent UI Verify builds
get_buildGet what changed in a build
list_build_storiesPage through a build's stories by status
get_pr_changesetGet what a PR does to the UI vs its base branch
list_pr_storiesPage through the PR-vs-base changeset by kind
get_diffPer-story diff detail with image URLs
render_diff_imageFetch the actual pixels of a story image
review_diffAccept, deny, or ignore one story's change
accept_buildAccept 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.

ExampleCapture path
[`examples/storybook`](examples/storybook)Storybook stories (no SDK, upload --static-dir)
[`examples/vitest`](examples/vitest)Vitest browser-mode tests with @uiverify/vitest
[`examples/playwright`](examples/playwright)Playwright end-to-end tests with @uiverify/playwright
[`examples/bun`](examples/bun)Bun visual tests (bun test) with @uiverify/bun
[`examples/react-native`](examples/react-native)Finished screenshots (native / mobile / React Native) with upload --screenshots

The first four 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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