stealth-browser-mcp
Enables reliable web automation and data extraction where standard tools fail due to anti-bot defenses, reducing manual workarounds and supporting integratio…
The only browser automation that bypasses anti-bot systems. AI writes network hooks, clones UIs pixel-perfect via simple chat.
- Automate web scraping of sites with anti-bot protection using natural language instructions.
- Generate pixel-perfect UI clones of websites without manual code writing or CSS extraction.
- Test application behavior against bot detection systems by simulating realistic browser interactions.
Enables reliable web automation and data extraction where standard tools fail due to anti-bot defenses, reducing manual workarounds and supporting integration-heavy workflows at scale.
Data engineering teams and integration consultants automating web scraping, testing, or API workflows against protected sites.
https://github.com/vibheksoni/stealth-browser-mcp
By vibheksoni
How to Get It
claude mcp add stealth-browser-mcp -- npx -y stealth-browser-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 web scraping of sites with anti-bot protection using natural language instructions
Trust Signals Auto-scanned
Data & Access
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 1,551 GitHub stars; 7 contributors; last commit 1d 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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Evaluation
Scored from trust signals (evidence-eval-v1): 1,551 GitHub stars; 7 contributors; last commit 1d ago; license MIT.