dbt-llm-agent: LLM based AI Agent to automate Data Analysis for dbt projects with remote MCP server

by pragunbhutani · MCP Server · ★ 178

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

Security audit verdict: SAFE · quality 70/100

Flagged: reads sensitive env vars. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agentagentic-aiaiai-data-analysisdata-analysisdata-analystdbtllmtext-to-sql

Quick Facts

Stars178
Forks31
LanguagePython
CategoryMCP Server
LicenseMIT
Quality Score70/100
Open Issues4
Last Updated2026-04-01
Created2024-02-11
Platformsmcp, python
Est. Tokens~280k

About dbt-llm-agent

Ragstar — AI Data Analyst for dbt Projects Ragstar is in public βeta. Expect rapid changes and occasional rough edges. What is Ragstar? Ragstar connects to your dbt project, builds a knowledge base from models & documentation, and lets everyone ask data-related questions in plain English via a beautiful web dashboard or Slack.

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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