# PostgreSQL MCP Server with Authentication

> Use this tool when you need to access and manage PostgreSQL databases through natural language interaction, enabling authenticated browsing, schema discovery, and custom SQL query execution. It solves problems of secure database access and complex query execution, providing an intuitive interface for users to input natural language queries and receive relevant database outputs. Ideal for use cases requiring authenticated database interaction, such as data analysis, reporting, and data science applications.

Canonical page: https://skillsregistry.net/skills/kevin29a-viq-mcp  
JSON: https://api.skillsregistry.net/v1/skills/kevin29a-viq-mcp

## Description

Provides authenticated access to PostgreSQL databases for Claude AI, enabling users to browse database tables, discover schemas, and execute custom SQL queries through natural language interaction.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-04-21

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/euu23wlj0k)
- **Repository:** <https://github.com/kevin29a/viq-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": "kevin29a-viq-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kevin29a-viq-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kevin29a-viq-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