What is mc-agent-toolkit?

A toolkit that helps AI coding agents check and enforce data quality practices. Data observability means watching whether data is complete, accurate, and structured as expected.

It is for reviewing data-related code, checking schemas and dbt projects, and applying preventive checks while an AI agent works.

It helps catch problems in data schemas and pipelines before changes made by an agent cause failures or unreliable reports.

mc-agent-toolkit — Plugin for Cursor by monte-carlo-data

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Clone the repo

git clone --depth 1 https://github.com/monte-carlo-data/mc-agent-toolkit

Made for: Cursor.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/plugins/monte-carlo-data/mc-agent-toolkit/cursor/github.svg)](https://agentmods.dev/plugins/monte-carlo-data/mc-agent-toolkit/cursor)

Your own site

<a href="https://agentmods.dev/plugins/monte-carlo-data/mc-agent-toolkit/cursor"><img src="https://agentmods.dev/badge/plugins/monte-carlo-data/mc-agent-toolkit/cursor/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/plugins/monte-carlo-data/mc-agent-toolkit/cursor"><img src="https://agentmods.dev/badge/plugins/monte-carlo-data/mc-agent-toolkit/cursor.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session not measured What this adds to a session before it is invoked.

When invoked not measured The manifest loads nothing itself; its 1 command cost 9 tokens a session between them.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Security

Grade A, and why

mc-agent-toolkit scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/cursor/.cursor-plugin/plugin.json · 21 lines

What it actually says

{
    "name": "mc-agent-toolkit",
    "version": "1.29.0",
    "description": "Monte Carlo Agent Toolkit — data observability skills and enforcement hooks for AI coding agents.",
    "author": {
        "name": "Monte Carlo",
        "url": "https://www.montecarlodata.com"
    },
    "repository": "https://github.com/monte-carlo-data/mc-agent-toolkit",
    "license": "Apache-2.0",
    "keywords": [
        "monte-carlo",
        "data-observability",
        "agent-toolkit",
        "prevent",
        "dbt",
        "schema"
    ],
    "hooks": "./hooks/prevent/hooks.json"
}

Contents

What it installs

The manifest is a name and a version. 1 command travel with it, and installing the plugin installs all of them — 9 tokens a session between them. Each is measured on its own page, and each can be installed alone.

Command mc-validate A 9 tokens

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

5d ago Changed 12b7f1a97175
6d ago Changed 92beb02d21bd
14d ago Changed a049af487bce
20d ago Changed 1d2034b32821
21d ago Changed b800f56da5ff
26d ago Changed 026eadafc662
27d ago Changed 90dd54181755
28d ago Changed 653d1ded947e
29d ago Changed 4ebaf69570f9
1mo ago First seen · 21 lines scan A 4d506c20f9b1

Subscribe to this mod's changes

mc-agent-toolkit is a plugin published in the GitHub repository monte-carlo-data/mc-agent-toolkit (93 stars, last pushed yesterday), licensed Apache-2.0. Its token cost is not measured: this kind of file is read by the harness, not the model. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-08.

Analytics and metrics Claude Code agent-observability agent-skills ai-agents cursor data-observability

before-you-build

Pre-build product risk review for founders, product teams, and AI-assisted builders before implementation starts.

wshobson/agents · not measured

kage

Kage manages your memory and agents. It briefs and runs agents in isolated git worktrees for a single run or a multi-wave goal, re-runs the checks itself instead of trusting the agent's report, and remembers what it learns so each brief is smarter than the last.

kage-core/Kage · not measured

mc-agent-toolkit

Getting it into your agent

Wrote this? Show the measurements

Grade A, and why

Nothing flagged

What it actually says

What it installs

What this file has done since we first saw it

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