# PostgreSQL Advanced MCP Server

> PostgreSQL Advanced MCP Server — syahiidkamil-mcp-postgres-advanced. Use this tool when you need to inspect database schemas with rich metadata or execute read-only SQL queries with safety checks, enabling large language models (LLMs) to interact with databases securely. It solves problems related to database exploration, query execution, and data analysis, providing a safe and controlled interface for LLMs to access database information. The tool accepts SQL queries as input and returns query results as output, making it ideal for use cases that require secure and metadata-rich database interactions.

Canonical page: https://skillsregistry.net/skills/syahiidkamil-mcp-postgres-advanced  
JSON: https://api.skillsregistry.net/v1/skills/syahiidkamil-mcp-postgres-advanced

## Description

An enhanced Model Context Protocol server that enables LLMs to inspect database schemas with rich metadata and execute read-only SQL queries with safety checks.

## Trust

- **Trust score (0–1):** 0.88
- **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/y2webxuhv3)
- **Repository:** <https://github.com/syahiidkamil/mcp-postgres-full-access>

## 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": "syahiidkamil-mcp-postgres-advanced"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/syahiidkamil-mcp-postgres-advanced` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/syahiidkamil-mcp-postgres-advanced/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