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Official Playwright-powered browser control for agent workflows.
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Basierend auf der SOC-Berufsklassifikation
| name | Playwright MCP Browser Automation |
| slug | playwright-mcp-browser-automation |
| description | Official Playwright-powered browser control for agent workflows. |
| github_stars | 33289 |
| verification | security_reviewed |
| source | https://github.com/microsoft/playwright-mcp |
| author | Microsoft |
| publisher_type | company |
| category | Browser Automation |
| framework | Claude Code |
| tool_ecosystem | {"github_repo":"microsoft/playwright-mcp","github_stars":33289,"npm_package":"@playwright/mcp","npm_weekly_downloads":5000572} |
Official Playwright-powered browser control for agent workflows.
Node.js, Playwright, MCP client or host environment
Use the upstream install or setup path that matches your environment:
Requirements and caveats from upstream:
Basic usage or getting-started notes:
VS Code, Cursor, Windsurf, Claude Desktop, Goose, Junie or any other MCP client
// Generate using:
Extracted from upstream docs: https://raw.githubusercontent.com/microsoft/playwright-mcp/HEAD/README.md
Use Vocode to compose transcription, LLM, speech synthesis, and telephony components into reviewable real-time voice-agent workflows.
Use Claude Legal Skill to guide an agent through contract risk review, CUAD-style clause checks, market benchmarks, and lawyer-ready redline suggestions.
Use SWE-ReX when a coding agent needs a consistent runtime interface for local, containerized, or remote shell sessions with command output, exit codes, interactive tools, and parallel execution.
Use Text Extract API when an agent needs to turn PDFs, Office files, or images into Markdown or structured JSON with local OCR, optional Ollama models, PII removal, and queued batch processing.
Route model calls through Helicone, inspect costs, latency, traces, prompts, and evaluations, then review changes before they ship.
Launch an OpenAI-compatible OpenLLM server for a chosen open model, point an agent runtime at it, and compare behavior before production use.
