by pragunbhutani · MCP Server · ★ 167
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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 | 167 |
| Forks | 29 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 45.6/100 |
| Open Issues | 4 |
| Last Updated | 2025-07-31 |
| Created | 2024-02-11 |
| Platforms | mcp, python |
| Est. Tokens | ~280k |
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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 167 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 167 stars and 29 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.