# SqlSchemaBridgeMCP

> SqlSchemaBridgeMCP — yt3trees-sqlschemabridgemcp. Use this tool when you need to translate natural language questions into accurate SQL queries, or when you require database schema information to inform AI decision-making. It solves problems related to querying databases using natural language inputs, providing a bridge between human-like questions and structured SQL queries. The tool takes natural language questions as input and outputs SQL queries, using local CSV files to manage database schema information.

Canonical page: https://skillsregistry.net/skills/yt3trees-sqlschemabridgemcp  
JSON: https://api.skillsregistry.net/v1/skills/yt3trees-sqlschemabridgemcp

## Description

MCP server that helps AI agents build accurate SQL queries from natural language questions. It manages database schema information (tables, columns, and relations) in local CSV files and provides it to AI agents.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/yt3trees/SqlSchemaBridgeMCP)

## 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": "yt3trees-sqlschemabridgemcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/yt3trees-sqlschemabridgemcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/yt3trees-sqlschemabridgemcp/pull`

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