Playwright MCP
What is Playwright MCP?
Playwright MCP is an official MCP server for AI teams that need controlled browser automation inside agent workflows. Built on Playwright, it lets models click, navigate, extract web data, and coordinate terminal commands, file operations, and process management. The open-source project is Apache-2.0 licensed and sits in GitHub's ecosystem, with customers including Fidelity, Shopify, and Adobe. Plans run Free $0USDper user/month, Team $4USDper user/month, and Enterprise $21USDper user/month.
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At a glance
- Playwright MCP is best for AI teams who need reliable browser automation inside agent workflows.
- Free $0USDper user/mo; Team $4USDper user/mo; Enterprise $21USDper user/mo
- 30 days, no credit card
- Yes — GitHub offers APIs to get data and events within GitHub and trigger or advance workflows.
What does Playwright MCP do?
Playwright MCP exposes browser automation through an official MCP server so AI agents can interact with web apps in a controlled, repeatable way. It sits on top of Playwright and is designed to help models understand pages, drive workflows, and extract web data without brittle one-off scripts. The repository shows an Apache-2.0 license and a TypeScript/JavaScript codebase, which makes it straightforward to inspect and extend. At scale, the project has 32.6k stars, 2.7k forks, 65 releases, and 66 contributors. It is built for browser-based automation rather than general app hosting, and it fits into GitHub's broader ecosystem of APIs, Actions, Copilot, and Marketplace integrations. GitHub says more than 150 million developers and over 90% of Fortune 100 companies rely on its platform, and customer stories include Fidelity, Shopify, Mercedes-Benz, American Airlines, Adobe, Ford, Vodafone, Spotify, and Home Depot.
Why use Playwright MCP?
- An official MCP server gives teams a standardized way to connect agents to browser actions instead of wiring custom glue for each workflow.
- The Apache-2.0 license makes the project easy to audit, fork, and adapt for internal automation needs.
- Its Playwright foundation is suited to modern web apps, so agents can work against real browser behavior rather than simplified APIs.
- The GitHub-hosted project has 32.6k stars and 2.7k forks, which signals active community attention and reuse.
- GitHub's broader platform support means the tool fits naturally alongside APIs, Actions, Copilot, and Marketplace-based extensions.
Who is Playwright MCP for?
- AI product teams who need agents to click, navigate, and extract data from websites.
- Automation engineers who want browser workflows that are easier to control than ad hoc scripts.
- Developer tool builders who need an official MCP server for web interaction.
- Teams building agentic apps who need repeatable browser actions in their stack.
- Open-source maintainers who want a permissive, inspectable automation layer.
What are Playwright MCP's key features?
Automate web browsers
Run browser actions for AI agents through Playwright MCP, letting models click, type, and navigate websites instead of relying on brittle scripts.
Official MCP server
Use the official MCP server from Microsoft Playwright MCP to connect browser automation into agent workflows with a standard interface.
Extract web data
Pull structured data from any website during browser sessions, which helps agents gather page content without custom scrapers or manual copy-paste.
terminal commands
Execute terminal commands alongside browser automation, so agents can coordinate local tooling and web steps in one workflow.
file operations
Read and write files as part of the same Playwright MCP session, making it easier to save outputs and pass data between steps.
process management
Start, monitor, and manage processes while automating the browser, which matters when agents need to run apps and inspect them live.
advanced web search
Combine browser control with advanced web search to find pages, open results, and collect context for research or testing tasks.
semantic code retrieval & editing
Support semantic code retrieval and editing during browser-driven workflows, helping agents inspect code context before making changes.
What does Playwright MCP integrate with?
- Okta
- Entra ID
- GitHub Actions
- GitHub Copilot
- GitHub Enterprise Cloud
- GitHub Issues
- Dependabot
- Codespaces
- Copilot Autofix
- Render
- LovableBot
- OpenCode
- Linear Code
- CodeRabbit
- Linear
- Codacy
- Zenhub
- Qlty Cloud
- Codecov | Code Coverage
- CircleCI
- Imgbot
- Rewind Backups for GitHub
- CodeFactor
- Azure Pipelines
- Zube
- POEditor
- Percy
- Rollbar
- Argos Visual Testing
- AccessLint
What are Playwright MCP's use cases?
AI product teams automate browsing
AI product teams who need agents to click, navigate, and extract data from websites use Playwright MCP to turn browser tasks into repeatable agent actions. They rely on Automate web browsers and Extract web data to collect page content, verify flows, and feed structured results back into their app.
Automation engineers control workflows
Automation engineers who want browser workflows that are easier to control than ad hoc scripts use Playwright MCP to run dependable web steps inside their stack. With Official MCP server and terminal commands, they can coordinate browser actions and surrounding commands without stitching together brittle one-off tooling.
Developer tools with browser access
Developer tool builders who need an official MCP server for web interaction use Playwright MCP to add browser control to agentic products. They combine Official MCP server with file operations and process management to keep interactions inspectable while supporting repeatable website actions.
Agentic apps with repeatable actions
Teams building agentic apps who need repeatable browser actions in their stack use Playwright MCP to standardize how agents interact with websites. Automate web browsers and Extract web data help them move from fragile demos to workflows that can be reused across tasks.
How does Playwright MCP work?
- Connect your agent to the Official MCP server and point it at Playwright MCP so the first browser session can start with a controlled, inspectable interface.
- Use Automate web browsers to click, navigate, and fill forms while the agent follows the same steps every time instead of improvising.
- Pull page content with Extract web data, then pass the results into your app or workflow for downstream reasoning, validation, or reporting.
- Combine terminal commands, file operations, and process management when the browser task needs surrounding system actions, keeping the whole run coordinated from one stack.
- Reuse the same setup across agentic workflows and iterate on prompts or steps as needed, so browser automation stays repeatable as your product grows.
How much does Playwright MCP cost?
Free
$0USDper user/month- Unlimited public/private repositories
- Dependabot security and version updates
- 2,000 CI/CD minutes/month
- 500MB of Packages storage
- Issues & Projects
- Community support
Team
$4USDper user/month- Everything included in Free, plus.
- Access to GitHub Codespaces
- Repository rules
- Draft pull requests
- Code owners
- Required reviewers
- Pages and Wikis
- Environment deployment branches and secrets
- 3,000 CI/CD minutes/month
- 2GB of Packages storage
- Web-based support
Enterprise
$21USDper user/month- Everything included in Team, plus.
- Data residency
- Enterprise Managed Users
- User provisioning through SCIM
- Enterprise Account to centrally manage multiple organizations
- Environment protection rules
- Repository rules
- Audit Log API
- SOC1, SOC2, type 2 reports annually
- FedRAMP Tailored Authority to Operate (ATO)
- SAML single sign-on
- Auditing
- GitHub Connect
- 50,000 CI/CD minutes/month
- 50GB of Packages storage
Frequently asked questions
What is Playwright MCP?
Playwright MCP is an official MCP server for AI teams that need controlled browser automation inside agent workflows. Built on Playwright, it lets models click, navigate, extract web data, and coordinate terminal commands, file operations, and process management. The open-source project is Apache-2.0 licensed and sits in GitHub's ecosystem, with customers including Fidelity, Shopify, and Adobe. Plans run Free $0USDper user/month, Team $4USDper user/month, and Enterprise $21USDper user/month.
How much does Playwright MCP cost? Is it free?
Playwright MCP has a free plan, with paid tiers including Team at $4USDper user/month, Enterprise at $21USDper user/month. A 30-day free trial is available.
What is Playwright MCP used for? Who is it for?
Playwright MCP is used for Automate web browsers, Official MCP server, and Extract web data. It's built for AI product teams, Automation engineers, and Developer tool builders.
Does Playwright MCP have an API and what does it integrate with?
GitHub offers APIs to get data and events within GitHub and trigger or advance workflows. It integrates with Okta, Entra ID, GitHub Actions, GitHub Copilot, GitHub Enterprise Cloud, and 25 more.
Editor's read
Check whether your workflow needs GitHub Enterprise features such as data residency, SCIM, or SAML single sign-on. Those controls appear only on the Enterprise tier, so teams needing them should verify the upgrade path before adopting the lower plans.
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