invisible_playwright_mcp
Enables reliable web automation and data collection against anti-bot defenses, reducing failed API integrations and manual data gathering workflows that bloc…
Playwright MCP server undetected by anti-bots, no captchas: AI agent browses the web on anti-detect stealth Firefox, self-hosted Python, undetected browser automation, scraping, computer use.
- Automate data extraction from websites that block standard web scrapers.
- Generate reports by gathering information from multiple protected web pages automatically.
- Ask Claude to monitor competitor pricing or content changes across sites daily.
Enables reliable web automation and data collection against anti-bot defenses, reducing failed API integrations and manual data gathering workflows that block enterprise automation pipelines.
Data engineering teams and enterprise consultants automating web scraping and third-party integrations where standard browser automation fails.
https://github.com/feder-cr/invisible_playwright_mcp
By feder-cr
How to Get It
claude mcp add invisible_playwright_mcp -- npx -y invisible_playwright_mcp
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
Once it’s connected, paste this into Claude:
Help me automate data extraction from websites that block standard web scrapers
Trust Signals Auto-scanned
Data & Access
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 31,655 GitHub stars; contributors unknown; last commit 0d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
Scored from trust signals (evidence-eval-v1): 31,655 GitHub stars; contributors unknown; last commit 0d ago; license MIT.