# nlp2sql

> nlp2sql — luiscarbonel1991-nlp2sql. Use this tool when you need to convert natural language queries to SQL, solving complex data retrieval problems and enabling users to interact with databases using everyday language. It takes natural language input and outputs equivalent SQL queries, supporting multiple AI providers and scalable for large databases with 1000+ tables. Ideal for use cases where simplifying database interactions and improving user experience is crucial.

Canonical page: https://skillsregistry.net/skills/luiscarbonel1991-nlp2sql  
JSON: https://api.skillsregistry.net/v1/skills/luiscarbonel1991-nlp2sql

## Description

Enterprise-ready Natural Language to SQL converter with multi-provider AI support (OpenAI, Anthropic, Gemini). Built for production scale databases (1000+ tables) with Clean Architecture.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** database
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/luiscarbonel1991/nlp2sql)

## 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": "luiscarbonel1991-nlp2sql"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/luiscarbonel1991-nlp2sql` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/luiscarbonel1991-nlp2sql/pull`

---
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