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Playrunner

MCP serverWeb & browsing

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

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use Playrunner

From the project's README

As published by playrunner/playrunner in README.md.

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

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.

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.

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:

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:

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

./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.

To reopen the setup wizard:

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

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

cd docs
npm run start -- --port 3104

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

Explore

Start hereWhat you will find
Automatic shardingSuite discovery, capacity-aware planning, and report merging
Integration referenceAvailable nodes, providers, and configuration
Runner architectureLocal, managed, and self-hosted execution
Workflow executionHow the API, orchestrator, and ephemeral runners coordinate
ContributingWays to extend runners, integrations, reporting, and the product

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.

License

Playrunner is source-available under the Playrunner Sustainable Use License, copyright © 2026 Concept AI PTY LTD.

Advanced
Delivery
mcp MCP server → your ahel gateway (mcp.ahel.ai) → every connected AI client.
Catalog kind
mcp-server
Gateway key
dev-playrunner-mcp
Source
github.com/playrunner/playrunner
Hosted endpoint
https://playrunner.cloud/mcp