Turn any codebase, with its docs, SQL schemas, configs, and PDFs, into a queryable knowledge graph. A /graphify skill for Claude Code, Cursor, Codex, and Gemini CLI: local…
Mc Agent Toolkit
Official Monte Carlo toolkit for AI coding agents. Skills and plugins that bring data and agent observability — monitoring, triaging, troubleshooting, health checks — into…
Install
claude mcp add --transport http monte-carlo-mcp https://mcp.getmontecarlo.com/mcpInstall command taken from the project's README or registry entry. Always review code before running it.
README excerpt
Read full README on GitHub →MC Agent Toolkit
Monte Carlo's official toolkit for AI coding agents. Brings data observability — lineage, monitoring, validation, alerting, and metadata ingestion — directly into your development workflow. The toolkit bundles multiple skills into a single plugin that works across supported editors.
Using Claude.ai (web or desktop) instead of a coding agent? Monte Carlo is a verified connector in the Claude directory — install it directly.
Features
The toolkit bundles the following capabilities as a single mc-agent-toolkit plugin. Each feature is a skill that can also be used standalone.
Skills are grouped by the job they help you do. Orchestrated workflows sequence individual skills into guided multi-step flows; atomic skills can be invoked directly by name. Both are loaded the same way.
Trust — pre-query and pre-build checks
| Skill | Description | Details |
|---|---|---|
| Asset Health | Single-table health report: freshness, active alerts, monitor coverage, importance, and upstream issues. Run before building on a table. | README |
Incident Response — triage, investigate, fix
| Skill | Description | Details |
|---|---|---|
| Incident Response (workflow) | Orchestrates full incident lifecycle — triage → root cause → remediation → prevent recurrence. | SKILL |
| Automated Triage | Scores and prioritizes active alerts; runs deep troubleshooting on high-signal ones. | SKILL |
| Analyze Root Cause | Investigates incidents via lineage tracing, ETL checks, query analysis, and data profiling. | README |
| Remediation | Proposes and executes fixes for data-quality alerts; assesses blast radius before acting, or escalates with full context. | README |
| Troubleshoot Agent Traces | Investigates AI-agent alerts (evaluation, metric, trajectory, validation) and agent traces — kicks off the trace troubleshooting agent and guides a backend-aware manual investigation. | README |
Monitoring — coverage gaps, monitor creation, noise reduction
| Skill | Description | Details |
|---|---|---|
| Proactive Monitoring (workflow) | Sequences coverage analysis → gap identification → monitor creation into a guided flow. | SKILL |
| Monitoring Advisor | Identifies coverage gaps and creates monitors for warehouse tables or AI agents — validates tables and fields against your live workspace, emits monitors-as-code YAML. | README |
| Manage MaC | Create, edit, validate, and import Monitors-as-Code YAML files — authors new monitors from scratch, modifies existing files, validates against the published JSON Schema, and exports live monitors to YAML. | SKILL |
| Tune Monitor | Recommends sensitivity, segment, and schedule changes to reduce alert noise on an existing metric monitor. | SKILL |
Prevent — catch issues before they ship
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