# light-database-mcp-server

> light-database-mcp-server — 11122604-light-database-mcp-server. Use this tool when you need to integrate multiple databases into a unified interface for AI tools, solving data fragmentation and compatibility issues across various database engines. It supports MySQL, SQL Server, MongoDB, Elasticsearch, Oracle, and Redis, providing a standardized Model Context Protocol (MCP) interface for clients like Claude Code and Claude Desktop. This server enables seamless interaction with diverse data sources, streamlining AI application development and data management.

Canonical page: https://skillsregistry.net/skills/11122604-light-database-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/11122604-light-database-mcp-server

## Description

A multi-database Model Context Protocol server developed in Java that gives AI tools — Claude Code, Claude Desktop, or any MCP-compatible client — a unified interface to MySQL, SQL Server, MongoDB, Elasticsearch, Oracle, and Redis, with multi-datasource support for every engine.

## Trust

- **Trust score (0–1):** 0.11
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/11122604/light-database-mcp-server)

## 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": "11122604-light-database-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/11122604-light-database-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/11122604-light-database-mcp-server/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