Flagged: reads sensitive env vars, opens a tunnel service. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by pragunbhutani · MCP Server · ★ 178
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is dbt-llm-agent safe to install? View the security audit →
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. Under the hood Ragstar combines: PostgreSQL + for fast similarity search Embeddings + LLMs (OpenAI, Anthropic, etc.) for reasoning A modern Next.js frontend & Django backend Screenshots Dashboard Integrations Settings Quick start (🚀 2 commands) When the containers are healthy: Fr
| Stars | 178 |
| Forks | 31 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 70.3474629693631/100 |
| Open Issues | 4 |
| Last Updated | 2026-04-01 |
| Created | 2024-02-11 |
| Platforms | mcp, python |
| Est. Tokens | ~280k |
Looking for a dbt-llm-agent alternative? If you're comparing dbt-llm-agent with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
The open context engine for AI agents support 15+ data sources. Built on Rust and Apache DataFusion.
Open-source agentic data engineering harness for dbt, SQL, and cloud warehouses. 100+ tools, 10 warehouses, AI
An MCP server to query any Postgres database in natural language.
An introduction to the world of AI Agents
MCP server for semantic code research and context generation on real-time using LLM patterns | Search naturall
A Python library powered by Language Models (LLMs) for conversational data discovery and analysis.
Explore other popular mcp server tools:
dbt-llm-agent is LLM based AI Agent to automate Data Analysis for dbt projects with remote MCP server. It is categorized as a MCP Server with 178 GitHub stars.
dbt-llm-agent is primarily written in Python. It covers topics such as agent, agentic-ai, ai.
You can find installation instructions and usage details in the dbt-llm-agent GitHub repository at github.com/pragunbhutani/dbt-llm-agent. The project has 178 stars and 31 forks, indicating an active community.
dbt-llm-agent is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to dbt-llm-agent on Agent Skills Hub include wren-engine, altimate-code, pgmcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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: