Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Beschreibung vom Entwickler (englisches Original)
Visual testing for coding agents: your agent sees every UI change it makes and triages each diff.
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Funktioniert in Claude im Web, auf dem Desktop und auf dem Handy:
https://uiverify.ai/mcpFühre das in deinem Terminal aus
claude mcp add --transport http uiverify https://uiverify.ai/mcpIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"uiverify": {
"url": "https://uiverify.ai/mcp"
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"uiverify": {
"type": "http",
"url": "https://uiverify.ai/mcp"
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
ChatGPT verbindet sich nur mit Servern im Internet:
https://uiverify.ai/mcpMenünamen können sich je nach Tarif und mit der Zeit leicht unterscheiden.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Die Tool-Liste dieses Servers haben wir noch nicht gelesen; wir prüfen die Endpunkte reihum.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 6. Nov. 2026
Der Herausgeber (igrlk) ist nicht der Repo-Inhaber (uiverify); vielleicht hat jemand anderes ihn eingetragen
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Noch nicht geprüft; wir prüfen die Endpunkte reihum
Noch nicht geprüft; wir prüfen die Endpunkte reihum
Noch nicht geprüft; wir lesen die Tool-Liste, wenn wir den Endpunkt prüfen
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 0 von 1 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Er läuft in der Cloud des Entwicklers. Du verbindest dich übers Internet, ohne etwas zu installieren, aber was du sendest, läuft über die Server des Entwicklers.
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (1.2.0) kam vor 10 Tagen in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Er verbindet sich per URL, also funktionieren auch Apps, die Remote-MCP-Server akzeptieren, zum Beispiel ChatGPT im Entwicklermodus.
In derselben Kategorie: Spec Driven Development, Remote Desktop Commander, debuff
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Let coding agents play, test and tune your 2D web game: live state, explained errors, replays, fuzz.
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
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
UI Verify is a hosted visual-testing service that plugs into your CI. On each PR it:
bun test with the Bun SDK, or from finished screenshots your own harness already produces (native, mobile, React Native) uploaded straight for diffing.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.
# 1. Install the CLI in your project
npm i -D uiverify
export UIVERIFY_API_KEY=... # from uiverify.ai
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.
uiverify checkWhile 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.
| Package | Install | What it does |
|---|---|---|
| [`uiverify`](packages/cli) | npm i -D uiverify | The 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/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`](packages/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/bun`](packages/bun) | bun add -d @uiverify/bun | The 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 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. 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 below | The agentic-development loop we build UI Verify with: factory, design, review-loop, e2e-verify, babysit-pr, and the skills that tune it. |
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.
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:
| Tool | What it does |
|---|---|
list_projects | List the projects you can access, with the projectId to pass when you have several |
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 |
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`](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.
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.
MIT © UI Verify