Playwright Browser Automation Server – FAQ | MCP Marketplace

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What is Playwright-MCP?

Playwright-MCP is a Playwright wrapper for the Model Context Protocol (MCP). It allows LLM-powered clients to control a browser for automation tasks.

What is MCP (Model Context Protocol)?

MCP is an open protocol that standardizes how applications provide context to Large Language Models (LLMs).

What are the key features of Playwright-MCP?

Key features include resource exposure (screenshots), prompting for page interpretation, and a comprehensive set of browser automation tools (navigation, interaction, content extraction).

How do I install Playwright-MCP?

Install dependencies using uv add playwright and playwright install chromium. Then, configure your Claude Desktop configuration file to point to the Playwright-MCP server.

How do I debug Playwright-MCP?

Use the MCP Inspector, launched via npx @modelcontextprotocol/inspector uv --directory /path/to/playwright-mcp run playwright-mcp.

What are some use cases for Playwright-MCP?

Use cases include AI-powered customer service, intelligent data extraction, automated report generation, dynamic content creation, and SEO optimization.

How does Playwright-MCP integrate with UBOS?

Playwright-MCP integrates seamlessly with UBOS, allowing developers to leverage the platform’s capabilities for orchestrating AI Agents, connecting them with enterprise data, and building custom AI Agents.

What is UBOS?

UBOS is a full-stack AI Agent Development Platform focused on bringing AI Agents to every business department. It helps you orchestrate AI Agents, connect them with your enterprise data, build custom AI Agents with your LLM model and Multi-Agent Systems.

Where can I find the Claude Desktop configuration file?

On MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json. On Windows: %APPDATA%/Claude/claude_desktop_config.json.

What if I don’t have Claude?

While the documentation specifically mentions Claude configuration, the core principles of MCP and Playwright-MCP can be adapted to work with other LLM clients that support the MCP protocol. Consult the documentation for your specific LLM client to understand how to configure it to communicate with the Playwright-MCP server.

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