# structured-rag-azure

> structured-rag-azure — vaibhav-k-structured-rag-azure. Use this tool when you need to translate natural language queries into SQL queries, enabling efficient database interactions and solving problems related to data retrieval and analysis. It takes in natural language inputs and outputs corresponding SQL queries, leveraging Azure OpenAI and Azure SQL Database for seamless integration. Ideal for use cases where complex data queries need to be simplified and automated, such as data science, business intelligence, and application development.

Canonical page: https://skillsregistry.net/skills/vaibhav-k-structured-rag-azure  
JSON: https://api.skillsregistry.net/v1/skills/vaibhav-k-structured-rag-azure

## Description

A production-ready Natural Language to SQL RAG pipeline and Model Context Protocol (MCP) server powered by Azure OpenAI and Azure SQL Database.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/vaibhav-k/structured-rag-azure)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "vaibhav-k-structured-rag-azure"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/vaibhav-k-structured-rag-azure` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/vaibhav-k-structured-rag-azure/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt