# PostgreSQL Alchemy

> Use this tool when you need to interact with PostgreSQL databases using a standardized interface, solving problems such as simplified database access and sophisticated querying. It takes environment variables and SQL queries as inputs and returns queried data as outputs, making it ideal for use cases like data analysis and automated database management. This tool is particularly useful in applications that require programmatic access to SQL databases, such as AI assistants and data reporting tools.

Canonical page: https://skillsregistry.net/skills/rhabraken-postgresql-alchemy  
JSON: https://api.skillsregistry.net/v1/skills/rhabraken-postgresql-alchemy

## Description

This MCP implementation, developed by rhabraken, provides a standardized interface for AI models to interact with PostgreSQL databases. Built using Python and leveraging SQLAlchemy, it offers a flexible solution for database operations across various SQL dialects. The implementation focuses on simplifying database access through environment variable configuration and Docker containerization, making it easy to set up and use in different environments. By connecting AI models with relational databases, this server enables sophisticated querying and data manipulation scenarios, enhancing the ability to retrieve and analyze structured data. It's particularly useful for applications and AI assistants that require programmatic access to SQL databases, facilitating use cases such as data analysis, reporting, and automated database management tasks.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/rhabraken-postgresql-alchemy)
- **Repository:** <https://github.com/rhabraken/mcp-python>

## 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": "rhabraken-postgresql-alchemy"
    }
  }
}
```

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

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