# Monte Carlo Agent Toolkit

> Monte Carlo Agent Toolkit gives AI coding agents data observability superpowers across the full data lifecycle. Before querying a table, the agent checks freshness, alerts, and monitor coverage. When an alert fires, it triages, traces root cause, and proposes fixes. When code changes a dbt model, it surfaces blast radius before the edit lands. It plans monitor coverage on new domains, tunes noisy monitors, diagnoses slow pipelines, identifies storage waste, and generates validation queries for P

## Facts
- Page: https://tashan.sh/capability/plugin-monte-carlo-data-mc-agent-toolkit-monte-carlo-agent-toolkit
- tashan id: plugin:monte-carlo-data/mc-agent-toolkit/monte-carlo-agent-toolkit
- Source: https://github.com/monte-carlo-data/mc-agent-toolkit
- Type: plugin
- Category: other
- tashan score: 60.0 / 100
- Adoption: 32.0
- Upkeep: 93.0
- Freshness: 84.0
- Evidence coverage: 84% of the inputs this score can use
- Health: active
- Instruction depth: not yet graded
- GitHub stars: 90
- License: Apache-2.0
- Official: no

## Install

```sh
/plugin marketplace add anthropics/claude-plugins-community
/plugin install monte-carlo-agent-toolkit@claude-community
```

## Security audit
Not scanned. We audit npm-published capabilities; this one has no npm package we can resolve, or has not reached the queue. This is not a clean bill of health.

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Measured 2026-09-13 by tashan (https://tashan.sh) from public evidence. Scorer s5.