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  3. Playrunner
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Playrunner

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Discover Playwright workflows, start runs, and inspect results in Playrunner Cloud.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

One-click editor setup isn’t available for this listing yet — we don’t have a confirmed install command, and we’d rather show nothing than point your editor at the wrong package or host. Follow the project’s own setup instructions, linked above.

Manual Client & Custom JSON ConfigExpand JSON ▾
No confirmed setup config for this listing yet. We only publish a config block when the install details come from the project itself — its README, its docs, or a verified owner. We haven’t found those for Playrunner, and we’d rather show nothing than a guess you’d paste into your client. Follow the project’s own setup instructions for the current steps.
Install Directory Badge Claim listing Alternatives📂 More in Browser Automation

Documentation Overview

Playrunner

Playrunner

Run Playwright at scale—without building the platform around it.

Keep the tests and CI you already use. Bring runners, environments, credentials, reports, integrations, and automatic sharding into one visual workflow.

Please ⭐ star Playrunner if you find it useful

Try Playrunner Cloud →   ·   Run it locally   ·   Read the docs

Documentation Discord Playrunner on YouTube npm packages


An Environment node connected to a Playwright node using an Auto plan with four shards, one failed shard, and a successful report merge.

One Playwright node. Four concurrent shards. One merged report—even when a shard fails.

Your tests stay. The platform glue goes.

Playwright runs your tests brilliantly. The hard part is everything around the command: compute, environments, credentials, schedules, conditions, artefacts, reporting, and the CI scripts that connect them.

Playrunner turns those moving parts into a workflow your whole team can see, run, and evolve.

🎨 Build visuallyConnect tests, triggers, conditions, branches, and downstream systems on a live workflow canvas.
🤖 Code with confidenceAsk AI to generate a Playrunner workflow alongside your app, then create or update it from the CLI in your development pipeline.
⚡ Shard automaticallyDiscover the real suite, fit useful parallelism to runner capacity, and merge every shard into one report.
🏃 Run where you wantUse local Docker, managed cloud runners, or your own infrastructure without changing the suite.
🔎 See the complete runFollow node state and logs live, with Playwright reports, screenshots, videos, and traces attached to the run.
🔐 Keep secrets out of workflowsReuse managed environments and credentials instead of copying sensitive values into scripts.
🪪 Reuse browser sign-insCapture authenticated browser sessions interactively and attach them to Playwright nodes without storing identity-provider passwords.
🧩 Extend with integrationsWire source control, schedules, messaging, AI analysis, issue tracking, webhooks, and more into the same DAG.

From suite to signal

text
Trigger → Environment → Playwright → Condition → Slack / Jira / AI / Webhook
                              │
                              └── reports · traces · screenshots · video
  1. Bring your existing tests. Your repository, Playwright configuration, and CI can stay as they are.
  2. Choose where they run. Start with local Docker, then move execution to managed or self-hosted runners when you are ready.
  3. Draw the workflow. Add schedules, branches, notifications, failure analysis, tickets, and downstream actions without another CI matrix.
  4. Inspect one complete result. Follow execution live and keep every log, report, and artefact attached to the run that produced it.

A Playrunner workflow branching after a regression test: failures flow into OpenAI analysis and Jira, while successful runs flow into Slack and a deploy webhook.

Reuse authenticated browser sessions

Authentication Profiles let tests start from a real signed-in browser session without storing identity-provider passwords in Playrunner. Create a profile for an Environment and authenticate manually in a visible browser. Local Playrunner opens the browser through its API; Playrunner Cloud uses a paired computer running the outbound-only CLI authentication companion.

The Authentication Profiles page showing an online paired device and an authenticated profile.

Terminal
npm install --global playrunner@latest
playrunner login
playrunner auth connect

Keep the companion terminal open, select the online device under Authentication Profiles, and start authentication. After signing in to the Chrome window, return to the terminal and press Enter to encrypt and upload the captured session state.

Select the profile on any Playwright node that needs it. Playrunner restores the session for that execution while keeping profiles isolated by Environment. The CLI is needed only while capturing or refreshing the profile. Cloud Test session checks and Hosted Runner workflows restore the encrypted stored state remotely and do not require the companion to remain connected. Each profile records its application, role, authentication status, last sign-in, and known expiry, and can be reauthenticated, revoked, or removed when access changes. Follow the Authentication Profiles tutorial and CLI companion guide for pairing, capture, hosted testing, and security.

Playrunner from the command line

The Playrunner CLI brings the same workflows to your terminal and CI/CD pipeline—without a global install. Use a revocable machine token to start a saved workflow, stream its progress, and turn its final status into a quality gate:

server.ts
export PLAYRUNNER_URL='https://playrunner.cloud'
export PLAYRUNNER_API_KEY='<your-api-token>'

npx playrunner WORKFLOW_ID

By default, the command waits for completion and exits non-zero when the workflow fails, is cancelled, or times out. Pass inputs and acceptance criteria to a run, attach pull-request context, emit newline-delimited JSON, or use --no-wait when another system will monitor the result.

The CLI also supports workflow as code. Keep a project and workflow definition in source control, then create or update it idempotently from JSON:

Terminal
npx playrunner workflow create --file playrunner-workflow.json

Use npx playrunner --help for every option. See the CLI overview, run guide, and workflow creation guide for token scopes, CI examples, inputs, source-change context, and the complete definition format.

Quick start

Prerequisites

  • Docker Desktop
  • Node.js 20+
  • npm

Start the full local stack

bash
./install-local.sh
cp .env.local.example .env.local
./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:

  • Playrunner: http://127.0.0.1:3100
  • Setup: http://127.0.0.1:3100/setup
  • Documentation: http://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:

bash
rm apps/api/.env
./start-local.sh

Remove .env.local as well if you want Playrunner to regenerate the local port and PostgreSQL defaults.

Run only the documentation site
bash
cd docs
npm run start -- --port 3104

Then open http://127.0.0.1:3104/playrunner/.

Explore

Read the full README →View source on GitHub →

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Reviews

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Frequently Asked Questions about Playrunner

We don't have a confirmed install command for Playrunner yet, so we don't publish a generated one — a guessed package name would point at the wrong package or none at all. Follow the project's own README or setup instructions (https://github.com/playrunner/playrunner) for the current steps.

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Technical Specs & Signals

Category📂Browser Automation
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Last updatedSep 28, 2026
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27Quality signal: Emerging · 27/100How this signal is calculated ▾
Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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