Browser Use
Browser agents and stealth cloud browsers for AI: run web tasks, fill forms, extract data.
Descripción del creador (original en inglés)
Discover Playwright workflows, start runs, and inspect results in Playrunner Cloud.
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.
Necesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Funciona en Claude para web, escritorio y móvil:
https://playrunner.cloud/mcpEjecuta esto en tu terminal
claude mcp add --transport http playrunner https://playrunner.cloud/mcpPégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"playrunner": {
"url": "https://playrunner.cloud/mcp"
}
}
}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.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"playrunner": {
"type": "http",
"url": "https://playrunner.cloud/mcp"
}
}
}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.
ChatGPT solo se conecta a servidores en internet:
https://playrunner.cloud/mcpLos nombres de los menús pueden variar un poco según el plan y con el tiempo.
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.
Todavía no hemos leído la lista de herramientas de este servidor; revisamos los endpoints por turnos.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 6 nov 2026
El nombre en el registro se verificó con el dominio playrunner.dev (el registro comprueba quién es dueño del dominio)
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Aún sin revisar; revisamos los endpoints por turnos
Aún sin revisar; revisamos los endpoints por turnos
Aún sin revisar; leemos la lista de herramientas cuando revisamos el endpoint
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 la nube del creador. Te conectas por internet sin instalar nada, pero lo que envías pasa por los servidores del creador.
El repo de GitHub cambió por última vez –, y la última versión (0.1.1) llegó al registro hace 2 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. Se conecta por URL, así que también funcionan las apps que aceptan servidores MCP remotos, como ChatGPT en modo desarrollador.
En la misma categoría: Browser Use, Chrome DevTools MCP, MCP Server Browser
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
Browser agents and stealth cloud browsers for AI: run web tasks, fill forms, extract data.
MCP server for Chrome DevTools
MCP server for browser use access
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.
Build with AI. Ship with evidence.
Playrunner turns your Playwright tests into reusable workflows
your team, your CI, and your coding agent can run.
Go from “the code is done” to “here is what passed”.
Run real browser checks. Follow the execution. Open the report, trace, or video.
Try Playrunner Cloud → · Run locally · Connect your agent · Read the docs
| Product overview · 61 seconds | Workflow & evidence · 51 seconds |
|---|---|
| A narrated tour of reusable workflows, agent connections, and sharding. | A fresh local workflow: two passing checks, the report, and screenshot evidence. |
Recorded with OBS and narrated with AI on 19 October 2026. The overview shows product examples; the workflow video tours a real local run’s saved configuration, passing report, and screenshot evidence. Video notes and transcripts →
A working-looking screen is a good start. A repeatable test with an inspectable result is something your team can build on.
Playrunner gives AI-assisted developers and test teams a shared place to run Playwright, reuse environments and browser sign-ins, and investigate failures. Keep your existing tests. Give them a workflow you can run again after the next change.
Connect a compatible MCP client to Playrunner Cloud, then ask:
Run my checkout smoke workflow once. Wait for it to finish, tell me which
tests passed or failed, and include the report links.
The agent can discover projects, create workflows, start runs, and inspect the returned evidence from the same conversation. Your saved workflows remain available to your teammates and CI.
Codex · Claude · Cursor · Gemini CLI · Antigravity · Grok
Connection steps and capabilities vary by client. Use a client with remote Streamable HTTP and OAuth support, or the CLI from a shell-capable agent. Choose your connection → Read the MCP guide →
Your agent / CI / schedule
↓ Environment → Playwright → Pass or fail → Your next action ↓ Report · traces · screenshots · video
Your tests, environments, runners, and next steps. One visible workflow.
| What you need | What Playrunner brings |
|---|---|
| A workflow the team can understand | A visual canvas for tests, conditions, branches, and follow-up actions. |
| Faster feedback from larger suites | Automatic sharding with capacity-aware planning and one merged report. |
| A choice of where tests run | Local Docker, managed cloud runners, and self-hosted execution. |
| A way to investigate a failure | Live node state and logs, plus Playwright reports and captured artefacts. |
| Tests that start signed in | Reusable Authentication Profiles, isolated by environment. |
| Less secret copying | Managed environments and credentials, referenced by your workflows. |
| A useful next step | Integrations for GitHub, Slack, Jira, AI analysis, webhooks, and more. |
Four shards. One merged report. Failed tests stay visible.
Start a saved workflow, stream its progress, and return a failing exit code when the workflow fails, is cancelled, or times out:
export PLAYRUNNER_URL='https://playrunner.cloud'
export PLAYRUNNER_API_KEY=' '
npx playrunner WORKFLOW_ID
Prefer workflows as code? Keep the definition alongside your application:
npx playrunner workflow create --file playrunner-workflow.json
CLI run guide → · Workflow definitions →
Need a signed-in browser? Reuse an Authentication Profile.
Capture a browser session interactively, then select the profile on your Playwright node. Playrunner restores the stored session for the execution without storing your identity-provider password.
For Playrunner Cloud, pair your computer with the authentication companion:
npm install --global playrunner@latest
playrunner login playrunner auth connect
Keep the companion open while capturing or refreshing the session. Hosted workflow runs can restore the encrypted stored state without the companion remaining connected.
Authentication Profiles tutorial →
git clone https://github.com/playrunner/playrunner.git
cd playrunner ./install-local.sh ./start-local.sh
On the first run, Playrunner opens the setup app. Follow the printed URL to confirm PostgreSQL and create the first admin account. With the default ports:
http://127.0.0.1:3100http://127.0.0.1:3100/setuphttp://127.0.0.1:3104/playrunner/The .env.local file is optional unless you want to change ports before the first run. If it is missing, ./start-local.sh creates it from the example. For the complete walkthrough, see the Getting Started guide.
Reopen setup or change the local defaults
To reopen the setup wizard:
./start-local.sh --setup
Remove .env.local as well if you want Playrunner to regenerate the local port and PostgreSQL defaults.
Run only the documentation site
cd docs
npm run start -- --port 3104
Then open http://127.0.0.1:3104/playrunner/.
| Start here | What you will find |
|---|---|
| Automatic sharding | Suite discovery, capacity-aware planning, and report merging |
| Integration reference | Available nodes, providers, and configuration |
| Runner architecture | Local, managed, and self-hosted execution |
| Workflow execution | How the API, orchestrator, and ephemeral runners coordinate |
| Contributing | Ways to extend runners, integrations, reporting, and the product |
Contributing? Run the package end-to-end tests.
Package E2E tests run the real Vite frontend and Playrunner API against the isolated playrunner_e2e PostgreSQL schema. Complete local setup first so apps/api/.env contains a working DATABASE_URL, and keep PostgreSQL running.
Install Chromium once on a new development machine:
npm exec --prefix apps/frontend -- playwright install chromium
Run the deterministic mock-provider suite:
npm run test:e2e:mock
Run one integration package by its Playwright tag:
npm run test:e2e:mock -- --grep @github
npm run test:e2e -- --grep @github
Mock mode still uses the real frontend, authentication, API, credential encryption, and database; only outbound provider boundaries may be faked. Live-provider scenarios are opt-in and require protected credentials:
npm run test:e2e:live
npm run test:e2e:live -- --grep @github
Set PLAYRUNNER_E2E_DATABASE_URL to use another PostgreSQL server. Open the latest report with npx playwright show-report, or read the Testing guide for architecture and package authoring details.
Try it on one workflow that matters to you. Tell us what worked, what failed, and what would make it useful every day.
Join the Discord · Report an issue · Star the project
Playrunner is source-available under the Playrunner Sustainable Use License, copyright © 2026 Concept AI PTY LTD.