# SQL-Bridge-MCP

> SQL-Bridge-MCP — anelkabag-sql-bridge-mcp. Use this tool when you need to connect AI models like Claude or ChatGPT to your MySQL databases, enabling instant and secure data exchange via the MCP protocol. It solves problems of data integration and accessibility, providing a type-safe and production-ready interface for querying and retrieving data. Ideal for use cases requiring AI-driven data analysis or automation, with input support for LLM queries and output in MySQL-compatible format.

Canonical page: https://skillsregistry.net/skills/anelkabag-sql-bridge-mcp  
JSON: https://api.skillsregistry.net/v1/skills/anelkabag-sql-bridge-mcp

## Description

LLM-to-MySQL bridge via MCP protocol. Connect Claude, ChatGPT, and any AI to your databases instantly. Type-safe, secure, production-ready.

## 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/anelkabag/SQL-Bridge-MCP)

## 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": "anelkabag-sql-bridge-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/anelkabag-sql-bridge-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/anelkabag-sql-bridge-mcp/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