safari-mcp
Reduces CPU and thermal load on Apple Silicon by 40-60% versus Chrome DevTools MCP while maintaining session state, lowering infrastructure costs and extendi…
Native Safari browser automation for AI agents. 80 tools via AppleScript — zero overhead, keeps logins, runs silently in background. Drop-in alternative to Chrome DevTools MCP with 40-60% less CPU/heat on Apple Silicon.
- Automated form filling and data extraction from Safari
- Silent background web scraping preserving login sessions
- Apple Silicon–native CI/CD workflows for browser testing
Reduces CPU and thermal load on Apple Silicon by 40-60% versus Chrome DevTools MCP while maintaining session state, lowering infrastructure costs and extending laptop lifespan for teams running continuous browser automation.
Teams building AI agents on macOS that need efficient Safari automation without DevTools overhead or session management complexity.
https://github.com/achiya-automation/safari-mcp
By achiya-automation
How to Get It
claude mcp add safari-mcp -- npx -y safari-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 automated form filling and data extraction from Safari
Trust Signals Auto-scanned
Data & Access
Community Pulse Active
Discussed on Hacker News, Reddit
- The Safari MCP server for web developers — Hacker News · 272 pts
- The Safari MCP server for web developers — Hacker News · 15 pts
- MCPSafari: Native Safari MCP Server — Reddit · 10 pts
3 mentions across 2 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 162 GitHub stars; 7 contributors; last commit 13d 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.
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
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 162 GitHub stars; 7 contributors; last commit 13d ago; license MIT.