# PostgreSQL

> Use this tool when you need to interact with PostgreSQL databases, execute SQL queries, and retrieve table schemas. It solves problems related to database administration, data analysis, and direct database access from AI tools, providing a interface for AI assistants to input SQL queries and retrieve data outputs. It is ideal for use cases requiring database connectivity and query capabilities, such as data-driven applications and workflows.

Canonical page: https://skillsregistry.net/skills/melihbirim-postgresql  
JSON: https://api.skillsregistry.net/v1/skills/melihbirim-postgresql

## Description

A PostgreSQL MCP server implementation by Melih Birim that provides database connectivity and query capabilities for PostgreSQL databases. The server enables AI assistants to execute SQL queries, retrieve table schemas, and interact with PostgreSQL data through the Model Context Protocol, making it useful for database administration tasks, data analysis workflows, and applications requiring direct database access from AI tools.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/melihbirim-postgresql)
- **Repository:** <https://github.com/melihbirim/pg-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": "melihbirim-postgresql"
    }
  }
}
```

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