dbt-llm-agent MCP Server
pragunbhutani/dbt-llm-agent
[](https://agentrank-ai.com/tool/pragunbhutani--dbt-llm-agent/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) LLM based AI Agent to automate Data Analysis for dbt projects with remote MCP server
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
pragunbhutani/dbt-llm-agent is a Python MCP server licensed under MIT. LLM based AI Agent to automate Data Analysis for dbt projects with remote MCP server Topics: agent, agentic-ai, ai, ai-data-analysis, data-analysis, data-analyst, dbt, llm, text-to-sql.
Ranked #4079 out of 24846 indexed tools.
Ecosystem
Score Breakdown
180 stars → growing community
Last commit 1mo ago → moderate activity
10/14 issues closed → decent issue management
6 contributors → small team
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
Badge all embed codes →
[](https://agentrank-ai.com/tool/pragunbhutani--dbt-llm-agent/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) <a href="https://agentrank-ai.com/tool/pragunbhutani--dbt-llm-agent/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge"><img src="https://agentrank-ai.com/api/v1/badge/pragunbhutani--dbt-llm-agent" alt="AgentRank"></a> Matched Queries
From the README
# Ragstar — AI Data Analyst for dbt Projects
> **Ragstar is in public βeta.** Expect rapid changes and occasional rough edges.
---
## 1. 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 + `pgvector` for fast similarity search
- Embeddings + LLMs (OpenAI, Anthropic, etc.) for reasoning
- A modern **Next.js** frontend & **Django** backend
### Screenshots
#### Dashboard
#### Integrations
#### Settings
---
## 2. Quick start (🚀 2 commands)
```bash
# ① clone & prepare env file
$ git clone https://github.com/pragunbhutani/ragstar.git && cd ragstar
$ cp .env.example .env && ${EDITOR:-vi} .env # ⇒ edit just the vars shown below
# ② build & run everything
$ docker compose up --build -d
```
When the containers are healthy:
- Frontend: http://localhost:3000 (Next.js)
- API: Read full README on GitHub → Get the weekly AgentRank digest
Top movers, new tools, ecosystem insights — straight to your inbox.