Official Monte Carlo toolkit for AI coding agents. Skills and plugins that bring data and agent observability — monit...
Copy the install, test the workflow, then decide if it earns a permanent slot.
Fresh repo activity plus visible builder pull. This is the kind of tool people test before it turns obvious.
Copy the install, test the workflow, then decide if it earns a permanent slot.
Not hard to test, not trivial to unwind. Worth trying if it closes a sharp gap.
GitHub health 62/100. no security policy. Fresh enough repo health and manageable issue load keep the risk controlled.
AI Agent
Multiple
Model
Claude
Build Time
Instant
Fastest way to find out if mc-agent-toolkit belongs in your setup.
Copy the install command, run a real test, and back it out cleanly if it slows you down.
# Visit: https://github.com/monte-carlo-data/mc-agent-toolkitRun this first. You will know quickly if the workflow earns a permanent slot.
# No automated removal — visit https://github.com/monte-carlo-data/mc-agent-toolkitNo messy cleanup loop. If it misses, remove it and keep moving.
Install Location
~/ └─ .claude/ ├─ commands/ ├─ agents/ │ └─ mc-agent-toolkit/ ← installs here └─ settings.json
Official Monte Carlo toolkit for AI coding agents. Skills and plugins that bring data and agent observability — monitoring, triaging, troubleshooting, health checks — into Claude Code, Cursor, and more.