# Kenning PG MCP

> Kenning PG MCP — kenningai-kenning-pg-mcp. Use this tool when you need to securely access and analyze PostgreSQL databases with read-only permissions. It solves problems related to database inspection, query execution, and performance analysis, while enforcing access control through minimal roles and transactions. The Kenning PG MCP server provides input through schema listing and query execution, and outputs results and EXPLAIN analyses, making it ideal for use cases requiring secure and controlled database access.

Canonical page: https://skillsregistry.net/skills/kenningai-kenning-pg-mcp  
JSON: https://api.skillsregistry.net/v1/skills/kenningai-kenning-pg-mcp

## Description

A secure PostgreSQL Model Context Protocol server that provides read-only database access through tools like schema listing, object inspection, query execution, and EXPLAIN analysis, with database-enforced access control via read-only transactions and a minimal role rather than SQL text parsing.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/urvv4xyhuo)
- **Repository:** <https://github.com/kenningai/kenning-pg-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": "kenningai-kenning-pg-mcp"
    }
  }
}
```

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