# PostgreSQL MCP Server

> Use this tool when you need to query PostgreSQL database metadata, such as table lists and schema information, through the MCP protocol. It solves problems related to database integration and monitoring, providing inputs through stdio transport and HTTP requests, and outputs metadata information and health check endpoints. Ideal for use cases requiring Cursor/IDE integration or HTTP-based database monitoring.

Canonical page: https://skillsregistry.net/skills/physci-mcp  
JSON: https://api.skillsregistry.net/v1/skills/physci-mcp

## Description

Enables querying PostgreSQL database metadata including table lists and schema information through the MCP protocol. Supports stdio transport for Cursor/IDE integration as well as HTTP transport with health check endpoints.

## Trust

- **Trust score (0–1):** 1.00
- **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/lf4fzmi38r)
- **Repository:** <https://github.com/PhySci/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": "physci-mcp"
    }
  }
}
```

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