# pgmcp

> pgmcp — subnetmarco-pgmcp. Use this tool when you need to query Postgres databases using natural language, solving problems such as simplifying complex database queries and improving accessibility for non-technical users. It takes natural language inputs and returns relevant database query results, providing an intuitive interface for retrieving data. Use pgmcp to streamline database querying and make data retrieval more efficient.

Canonical page: https://skillsregistry.net/skills/subnetmarco-pgmcp  
JSON: https://api.skillsregistry.net/v1/skills/subnetmarco-pgmcp

## Description

An MCP server to query any Postgres database in natural language.

## Trust

- **Trust score (0–1):** 0.63
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** database
- **Updated:** 2026-09-24

## Source

- **Source listing:** [GitHub](https://github.com/subnetmarco/pgmcp)

## 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": "subnetmarco-pgmcp"
    }
  }
}
```

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