stealth-chrome-devtools-mcp
Enables AI agents to perform complex web automation without triggering bot detection mechanisms.
Undetectable browser automation for AI agents via MCP. Stealth Chrome DevTools with smart profile management, anti-detection arg filtering, and CDP access.
- Automate web scraping tasks that require bypassing bot detection mechanisms
- Analyze live website behavior using Chrome DevTools through an AI agent
- Run automated browser tests using stealth profiles to mimic real users
Enables AI agents to perform complex web automation without triggering bot detection mechanisms. This reduces workflow failures in scraping or automated testing environments where standard headless browsers are frequently blocked.
Automation engineers and AI developers building resilient web-scraping or browser-based agentic workflows.
https://github.com/DevinoSolutions/stealth-chrome-devtools-m...
By DevinoSolutions
How to Get It
claude mcp add stealth-chrome-devtools-mcp -- npx -y stealth-chrome-devtools-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 tasks that require bypassing bot detection mechanisms
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): 29 GitHub stars; contributors unknown; last commit 0d ago; license AGPL-3.0.
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.
- License (AGPL-3.0) may restrict commercial use. Check with your legal team.
How to evaluate tools before deploying →
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): 29 GitHub stars; contributors unknown; last commit 0d ago; license AGPL-3.0.