# PGAutoPilot

> PGAutoPilot — cyberreinxy-pgautopilot. Use this tool when you need to interact with PostgreSQL databases using natural language, generating schema-aware queries while maintaining enterprise safety controls. It solves problems of complex query formulation and database management, providing a user-friendly interface for AI assistants to retrieve and manipulate data. Ideal for use cases requiring seamless database interaction, PGAutoPilot takes natural language inputs and produces executable SQL queries as outputs.

Canonical page: https://skillsregistry.net/skills/cyberreinxy-pgautopilot  
JSON: https://api.skillsregistry.net/v1/skills/cyberreinxy-pgautopilot

## Description

Enables AI assistants to interact with PostgreSQL databases through natural language, with schema-aware query generation and enterprise safety controls.

## Trust

- **Trust score (0–1):** 0.56
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ua0xal01d1)
- **Repository:** <https://github.com/cyberreinxy/pgautopilot>

## 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": "cyberreinxy-pgautopilot"
    }
  }
}
```

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