mcpet
Provides observability into AI agent activity and usage metrics, enabling leaders to monitor tool consumption and improve workflow transparency within deskto…
MCP desktop companion for AI agent status, usage tracking, and everyday tools. Anything Universe · 桌面伙伴与日常工具入口。
- Monitor the real-time status and activity of your AI agents
- Track your daily AI tool usage and consumption metrics
- Access a centralized dashboard for your desktop AI companion tools
Provides observability into AI agent activity and usage metrics, enabling leaders to monitor tool consumption and improve workflow transparency within desktop environments.
Engineering managers monitoring AI agent performance and resource utilization across distributed development teams.
https://github.com/songconmaisaix31-design/mcpet
By songconmaisaix31-design
How to Get It
claude mcp add mcpet -- npx -y mcpet
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 monitor the real-time status and activity of my AI agents
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): 312 GitHub stars; contributors unknown; last commit 0d ago; license no license.
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
Scored from trust signals (evidence-eval-v1): 312 GitHub stars; contributors unknown; last commit 0d ago; license no license.