mc-agent-toolkit

Name: mc-agent-toolkit Review
Item: mc-agent-toolkit
Rating: 3.4
Author: Aaron Matthews

Skill Data & Analytics Usable

Works inClaude Code

Usable Scanned — metadata only

Data pipeline failures are invisible until they break dashboards.

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.

Monitor data pipeline health directly from your coding agent
Triage data quality incidents with AI-assisted root cause analysis
Run data health checks without switching to a separate dashboard

90 starsApache-2.0 (commercial OK)FreeQuick setup

Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Why it matters

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.

Best for

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

Works in

Claude Code Claude Cowork Claude Chat

Source

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 → Plugins → Add 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.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Help me monitor data pipeline health directly from my coding agent

PrerequisitesMonte Carlo account (the toolkit surfaces Monte Carlo data-observability monitoring and triage inside coding agents)CostFree

Trust Signals Auto-scanned

Stars90Contributors16Last updated2026-08-10LicenseApache-2.0 (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-10 · scanner vattempted-no-data

Community Pulse Growing

Discussed on Reddit

GitHub - brycewang-stanford/StatsPAI: The Agent-Native Causal Inference & Ec — Reddit · 33 pts

1 mentions across 1 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): 90 GitHub stars; 16 contributors; last commit 8d ago; license Apache-2.0.

Things to check

Recently discovered. Looks promising but has limited community feedback so far.

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 Scores

Evaluation

Ease of Use

3/5

Versatility

3/5

Reliability

4/5

Security

4/5

Overall score3.40 / 5.00 UsableEvaluatedAug 2026

catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 90 GitHub stars; 16 contributors; last commit 8d ago; license Apache-2.0.

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