Turn Playwright into AI-Powered Test Automation with Claude MCP Server 🧠

---

---

AI Summary

Summary of Playwright mCP Server Video

• Introduction:
  • Karthik introduces the concept of mCP (Model Context Protocol) server.
  • mCP bridges the gap between AI models and local data sources like SQL Server, GitHub, or a local browser.
• Demonstration:
  • A demo shows navigating to a website (ea.me.com) using cloud anthropic and Playwright code.
  • The browser automation, web scraping, and actions like login are performed automatically by AI without explicit wait commands.
• mCP Server Details:
  • mCP is an open-source standard that connects AI assistants to systems and tools with relevant data.
  • The local browser serves as the context for the AI model.
  • The mCP server translates context-aware details to the model for appropriate actions.
• Custom Playwright mCP Server:
  • Karthik built a custom server for Playwright, similar to the official mCP server for Puppeteer.
  • The server includes features like browser console log integration, screenshots, video attachments, and test reports.
• GitHub Repository:
  • The custom Playwright mCP server code is available on GitHub at github.com/executeautomation.
  • The repository mCP-playwright is expected to be part of the official mCP server soon.
  • Instructions for cloning the repo and commands for building and linking are provided (npm run build, npm run link).
• Code Explanation:
  • The package.json file lists dependencies like the mCP SDK and Playwright.
  • The code follows a pattern with imports and schemas for different tools.
  • A handleToolCall method uses a switch case statement to handle AI-passed instructions for actions like navigation, clicking, and filling inputs.
  • The AI is smart enough to interpret plain text instructions and perform actions like clicking links or filling forms without explicit locators.
• Extending the Code:
  • The code is open for contributions, and users are encouraged to add features and create pull requests.
  • Configurations for the code and execution are straightforward, involving changes to the cloud desktop conf.json file.
• Conclusion:
  • The video provides details on building an mCP server for Playwright.
  • The mCP server can be extended to other tools like WebDriverIO, Selenium, and Cypress.
  • Karthik invites the community to contribute to the repository.

Detailed Instructions and URLs

• GitHub Repository URL:
  • Exact URL not provided in the text.
• Clone Repository Command:
  • git clone [repository URL] (repository URL not specified in the text).
• Build and Link Commands:
  • npm run build
  • npm run link
• Configuration File:
  • cloud desktop conf.json (details on how to configure are not specified in the text).

Notes

• The summary does not include any self-promotion or unrelated content.
• The exact URLs and some specific details like the repository URL are not provided in the transcript text.
• The summary is focused on the topic of the video, which is the creation and demonstration of a custom Playwright mCP server.