# Database Lookup Protocol (DLP)

> Use this tool when you need to integrate AI assistants with various databases to generate accurate code, inspect database schemas, or preview data. The Database Lookup Protocol (DLP) solves problems related to data understanding and code generation by providing read-only access to PostgreSQL, MySQL, MongoDB, and SQL Server databases. It takes database connections as input and outputs structured data and schema information, making it ideal for use cases that require automated code generation and data analysis.

Canonical page: https://skillsregistry.net/skills/kalyangupta12-database-lookup-protocol  
JSON: https://api.skillsregistry.net/v1/skills/kalyangupta12-database-lookup-protocol

## Description

Provides AI assistants with read-only access to inspect database schemas, preview data, and run safe queries across PostgreSQL, MySQL, MongoDB, and SQL Server. It enables AI tools to understand database structures and relationships automatically to generate more accurate code.

## Trust

- **Trust score (0–1):** 0.78
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/sbv8bcd5zp)
- **Repository:** <https://github.com/kalyangupta12/Database-Lookup-Protocol>

## 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": "kalyangupta12-database-lookup-protocol"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kalyangupta12-database-lookup-protocol` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kalyangupta12-database-lookup-protocol/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
