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mc-agent-toolkit

Skill Data & Analytics Early

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.

75 starsApache-2.0 (commercial OK)FreeQuick setup
New Find — Recently discovered. Looks promising but has limited community feedback so far.

Data pipeline failures are invisible until they break dashboards. Monte Carlo's official agent toolkit brings data observability — monitoring, triaging, and troubleshooting — directly into AI coding agents like Claude Code and Cursor.

Data engineering teams using Monte Carlo for data observability who want AI agents that can monitor pipeline health and triage data incidents.

Claude Code Claude Cowork Claude Chat

https://github.com/monte-carlo-data/mc-agent-toolkit

By monte-carlo-data

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install monte-carlo-data/mc-agent-toolkit

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

CostFree

Trust Signals Auto-scanned

Stars75Contributors6Last updated2026-04-13LicenseApache-2.0 (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-04-13 · scanner v1

Community Pulse Growing

Discussed on Reddit

12 mentions across 1 sources

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 75 GitHub stars; 6 contributors; last commit 37d ago; license Apache-2.0.

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

Ease of Use
3/5
Versatility
3/5
Reliability
4/5
Security
4/5
Overall score3.40 / 5.00 EarlyEvaluatedMay 2026
Scored from trust signals (evidence-eval-v1): 75 GitHub stars; 6 contributors; last commit 37d ago; license Apache-2.0.

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