# SchemaFlow

> Use this tool when you need to analyze and understand PostgreSQL database structures in real-time, without requiring direct database connections. SchemaFlow provides cached schema information, including tables, columns, and relationships, and offers tools for schema validation, performance insights, and best practices alignment. It integrates with AI IDEs via Server-Sent Events (SSE) to deliver database introspection and analysis capabilities for AI-powered development workflows.

Canonical page: https://skillsregistry.net/skills/cryptoradi-schemaflow  
JSON: https://api.skillsregistry.net/v1/skills/cryptoradi-schemaflow

## Description

This MCP server provides real-time PostgreSQL schema access through SchemaFlow's cloud-based caching service, offering three core tools for database introspection and analysis without requiring direct database connections. Built by SchemaFlow and designed for AI-powered development workflows, it connects to AI IDEs like Cursor, Windsurf, and Cline via Server-Sent Events (SSE) to deliver cached schema information including tables, columns, relationships, functions, triggers, enums, and indexes. The implementation focuses on database analysis capabilities with tools for schema validation, performance insights, and best practices alignment, making it valuable for developers who need AI assistants to understand and work with PostgreSQL database structures in real-time.

## 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/cryptoradi-schemaflow)
- **Repository:** <https://github.com/cryptoradi/schemaflow-mcp-server>

## 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": "cryptoradi-schemaflow"
    }
  }
}
```

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

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