GitHub
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
Descripción del creador (original en inglés)
Verification browser for coding agents: headless WebKit, DOM eval, screenshots, pixel-diff.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Descargar el archivo .mcpb del creador
El enlace lleva al archivo del propio creador; no lo alojamos ni lo reempaquetamos. Abre el archivo y Claude Desktop lo instalará.
Ejecuta esto en tu terminal
Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
Esta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 9 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub hongnoul, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (0.6.0) llegó al registro hace 4 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas MCPB en tu computadora.
En la misma categoría: GitHub, Desktop Commander, Cloudflare MCP
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:↓ Descargas por semanai★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
Headless UI verification for coding agents
hwatu is a headless verification harness for coding agents: a warm WebKit daemon driven over CLI, MCP, or one JSON line per Unix-socket connection. Instead of "looks right to me", the agent gets one-call verified page checks in ~35 ms, pixel-diff scores it can climb, animations as numbers, and headless windows that never steal focus, at any parallelism. Jcode drives it natively as its browser backend. When a check needs a human (a CAPTCHA, a judgment call), hwatu focus materializes the same live session as a real window.
curl -fsSL https://raw.githubusercontent.com/hongnoul/hwatu/main/scripts/install.sh | bash
One static binary plus your distro's webkitgtk-6.0 (the installer checks). On Arch: yay -S hwatu. From source: cargo build --release.
Then connect an agent:
hwatu setup # detect Claude Code, Cursor, Jcode, or MCP
hwatu setup detects supported coding agents without changing their config. Choose a client explicitly:
hwatu doctor
hwatu setup --client claude --scope project --dry-run hwatu setup --client claude --scope project hwatu demo
Setup is previewable (--dry-run), idempotent, and reversible (--undo). Manual MCP configuration is one portable entry:
{ "mcpServers": { "hwatu": { "command": "hwatu", "args": ["mcp"] } } }
Or skip MCP: every command is a short CLI call or one newline-delimited JSON line over a Unix socket.
Connecting hwatu makes its tools available; a project instruction tells the agent when to use them. Add this to AGENTS.md, CLAUDE.md, or Cursor rules:
## Frontend verification
Use Hwatu after frontend changes. Exercise the affected user journey and verify its intended visible, navigational, or persisted result with expect. A successful click or clean console is not proof of success. Check console for additional JavaScript and request failures after verifying the outcome.
Then make the task's proof concrete:
Implement display-name editing on /settings. Use Hwatu to enter “Test User,”
save it, verify the visible success state, reload, confirm persistence, and report any console errors.
The verification loop:
hwatu --headless localhost:3000 # its window; you never see it
hwatu --headless staging.example.com # the reference
hwatu diff --id 2 --other 1 --heatmap /tmp/heat.png
hwatu motion --id 1 # the reference's animations, as numbers
hwatu diff --id 2 --other 1
This loop took a clone of stripe.com's landing page from 85.1% to 98.8% pixel match. Reproduce it: scripts/demo/. A second real-agent scenario (four responsive viewport diffs, then live human hand-off) with evidence manifests: scripts/demo-aiuc/.
A full verification pass (open, load, eval, screenshot, close) is one command, one tool call, ~35 ms median (benchmarks):
hwatu check localhost:5173 --eval 'document.title' --shot=/tmp/after.png
For a repeatable repo-level contract that also owns the preflight, local dev server, responsive screenshots, source-staleness check, and evidence report:
hwatu verify .hwatu/about.verify.json
The same executor is exposed to MCP clients as verify_ui, so agent harnesses do not rebuild the orchestration loop. See the agent guide.
Generated HTML in hand and no server? hwatu render is the same one-call pass with the markup as input: no temp file, no python3 -m http.server:
echo '<h1>generated</h1>' | hwatu render --stdin --shot=/tmp/gen.png
hwatu watch --kinds load,console
MCP clients call subscribe_events for the same stream as notifications/hwatu/event. Full protocol and verification loops: agent guide.
Elsewhere, headless is decided at launch and a human can never see the session. In hwatu it is a window property, switchable live, in both directions: hwatu focus promotes any headless session to a real window for the human, state intact.
challenge is detection and hand-off only, by design: no solver APIs, no token injection, no fingerprint games.
The hand-off works because hwatu is also a real browser, built for tiling WMs. hwatu opens a window like your terminal opens a shell (your WM is the tab bar, there is none in the window): mainstream keybinds (ctrl+l, ctrl+f, ctrl+k palette, rebindable), native ad blocking (~119k EasyList rules compiled into WebKit's content-extension engine, zero JS in the request path), Chromium-curve scrolling, and unified shortform controls. Every window shares the one warm daemon (~56 MB per extra window), suspends when unfocused, and crash-restores at its last URL. Honest gaps: no Widevine or passkeys in WebKitGTK. WM configs (hyprland, sway, niri), keybinds, and setup: docs/human.md.
hwatu focus drops the live session into your tiling WMdiff)motion)seek)snapshot)click / type / scroll / upload)console)watch)expect)challenge)Three ways to give an agent a browser:
| How it runs | What it costs the agent loop | |
|---|---|---|
| Cold library (Playwright, launched per task) | engine starts when the script does | fast to *call*, slow to *run*: every check pays engine startup; no state survives between tasks |
| Warm browser (your Chrome + devtools-mcp) | a full human browser stays resident | resources spent on tabs, extensions, sync, UI you never render, and its windows steal *your* focus while you work |
| hwatu | "the coldest warm daemon": engine hot, everything else absent | 8 ms spawns, 35 ms verified checks, invisible until *you* ask to see it (focus), interruptible in both directions |
hwatu keeps exactly what makes checks instant (engine, GPU context, compiled adblock, a prewarmed WebView) and nothing that serves a human *unless that human asked for a window*. That is why it idles warm without a tab bar, and why a kept-warm Playwright server driven the same way costs 341 ms per client to hwatu's 39 (benchmarks).
The second difference is what comes back. Playwright and chrome-devtools-mcp are automation APIs: they let an agent *drive* a browser, then hand back raw screenshots and DOM to eyeball. hwatu is a *verification* browser: the measurement primitives (check, diff, motion, expect) are built in, a window costs 13 ms, and headless is a window property, not a launch mode.
Legend: ✅ Yes / built-in · 🟡 Partial / limited · ❌ No
| Capability | Playwright | chrome-devtools-mcp | hwatu |
|---|---|---|---|
| Verify pass (load + eval + screenshot), warm in-process | 82 ms | n/a | 35 ms |
| Verify pass as a warm *service* (fresh client per check) | 341 ms | n/a | 39 ms |
| Tool calls per verify pass | 5 | 5 | 1 |
| Pixel-diff score + regions + heatmap | 🟡 1 | ❌ | ✅ |
| Animations as numbers, pinned mid-flight | ❌ 2 | 🟡 3 | ✅ |
| Headless ↔ headed on a *live* session | ❌ | ❌ | ✅ |
| Human hand-off mid-session, state intact | ❌ | ❌ | ✅ |
| No focus stealing at N parallel agents | 🟡 4 | 🟡 4 | ✅ |
| CAPTCHA detection + structured wait/resume | ❌ | ❌ | ✅ |
| No Node, no per-version browser download | ❌ | ❌ | ✅ |
1 toHaveScreenshot compares against stored goldens: pass/fail for test suites, not a score an agent can climb.
2 Standard practice is to disable animations or fast-forward to the end state to avoid flakes.
3 Raw CDP can query animation state, but there is no numeric summary of easing/velocity/keyframes.
4 Fine headless; every headed window pops and takes focus.
Comparison reflects each project at the time of writing;
corrections are welcome. Honest caveats: Playwright still wins
cold start (190 vs 435 ms, paid once per boot) and memory; hwatu
renders WebKit not Chromium (keep a Playwright matrix in CI for
engine-specific bugs), and it is Linux-only today. Full
head-to-head data and methodology:
[docs/benchmarks.md](docs/benchmarks.md
Solo se muestra el principio; lee el resto en el repo