# mcp-postgresql

> Use this tool when you need to interact with PostgreSQL databases from MCP clients, such as executing queries or retrieving schema information. It exposes database operations, including query execution and table metadata, to facilitate seamless interaction between clients and PostgreSQL databases. Ideal for use cases requiring database introspection, query execution, and metadata retrieval in a production-oriented environment.

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

## Description

A production-oriented MCP server for PostgreSQL that exposes database operations like query execution, schema introspection, and table metadata to MCP clients such as Claude Desktop and VS Code.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ok6277nng6)
- **Repository:** <https://github.com/ferronicardoso/mcp-postgresql>

## 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": "ferronicardoso-mcp-postgresql"
    }
  }
}
```

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