# SQL Database Assistant

> Use this tool when you need to interact with databases using natural language, generate SQL queries conversationally, or build AI-powered database interfaces. It provides intelligent SQL querying capabilities across SQLite, MySQL, and Oracle databases through a web-based chat interface, solving problems for developers, data analysts, and teams requiring cross-database compatibility. With comprehensive schema introspection and defensive data normalization, it accepts natural language inputs and outputs executable SQL queries.

Canonical page: https://skillsregistry.net/skills/sharansahu-sql-database  
JSON: https://api.skillsregistry.net/v1/skills/sharansahu-sql-database

## Description

Multi-database MCP server implementation by Sharan Sahu that provides AI assistants with intelligent SQL querying capabilities across SQLite, MySQL, and Oracle databases through a web-based chat interface. The implementation features database-specific MCP servers with comprehensive schema introspection tools, intelligent text matching with Unicode normalization and wildcard escaping, and a Flask-powered web frontend that connects OpenAI's GPT models with database tools via the Model Context Protocol. Built with extensive SQL dialect awareness including Oracle's case-sensitive identifiers, MySQL's collation handling, and SQLite's limited regex support, plus defensive data normalization for common field types like booleans, prices, and durations, it serves developers needing conversational database access, data analysts requiring natural language SQL generation, and teams building AI-powered database query interfaces where proper text matching and cross-database compatibility are essential.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/sharansahu-sql-database)
- **Repository:** <https://github.com/sharansahu/mcp-sql>

## 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": "sharansahu-sql-database"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sharansahu-sql-database` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sharansahu-sql-database/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