# Drizzle Schema to TypeScript Generator MCP for AI Agents MCP

> Drizzle Schema to TypeScript Generator MCP creates exact TypeScript interfaces from your Drizzle ORM definitions. It parses pgTable and mysqlTable strings to map columns to primitives like string, number, or boolean. Stop manually writing types and let your agent handle the heavy lifting for your database schema.

## Overview
- **Category:** developer-tools
- **Price:** Free
- **Endpoint:** https://edge.vinkius.com/vk_preview_tsmO6mg8kqPEPRw9h3YQ4Hi8g8f9cfoNXPj0sleJ/mcp
- **Tags:** drizzle-orm, typescript, postgresql, mysql, automation

## Description

You are tired of manual updates every time you change a column in your database. It is a headache to keep your frontend interfaces in sync with your backend schema, and even worse when your AI assistant starts guessing types that do not actually exist. This MCP fixes that by reading your raw Drizzle ORM code and turning it into precise TypeScript definitions. You can check if your table syntax is correct or find exactly which columns are causing type mismatches before you even run your migrations. It is like having a senior engineer watching your schema changes in real-time to ensure everything stays perfectly typed. When you connect this to your workflow through the Vinkius catalog, you get a single source of truth that spans from your database layer to your UI components. No more hunting through files to see if a field is nullable or what its type is; the types are just there, accurate and deterministic.

## Tools

### generate_interfaces
Converts your Drizzle schema definitions into valid TypeScript interfaces. It handles the heavy lifting of mapping database columns to their TS equivalents.

### list_unmapped_columns
Finds any columns in your schema that do not have a corresponding TypeScript type. This helps you catch unsupported types before they break your build.

### validate_schema
Checks your Drizzle ORM code for syntax errors or invalid table declarations. It ensures your schema is structurally sound.

## Prompt Examples

**Prompt:** 
```
Can you turn this Drizzle schema into TypeScript interfaces?
```

**Response:** 
```
| Column | Type |
| :--- | :--- |
| id | number |
| email | string |
| isActive | boolean |

```typescript
export interface users {
  id: number;
  email: string;
  isActive: boolean;
}
```
```

**Prompt:** 
```
Is my new table definition for products valid?
```

**Response:** 
```
Yes, the syntax for your `mysqlTable` is correct and ready for use.
```

**Prompt:** 
```
Are there any columns in this schema that won't map to TypeScript types?
```

**Response:** 
```
The following columns contain unsupported types:
* `metadata` (jsonb)
* `last_login` (timestamp)
```

## Capabilities

### Generate TypeScript interfaces
Turn raw Drizzle schema strings into usable TS code.

### Validate table syntax
Check your pgTable or mysqlTable declarations for errors.

### Identify unsupported types
Spot columns that do not have a direct mapping to TypeScript primitives.

### Map database columns to primitives
Automatically assign string, number, or boolean based on the schema.

## Use Cases

### Updating a schema
You add a new column to pgTable, ask your agent to update the interfaces, and the frontend is instantly in sync.

### Debugging migrations
You are unsure if your mysqlTable syntax is correct, so you run a check to verify the declaration is valid.

### Refactoring types
You need to find all columns that use complex types not yet supported by TypeScript primitives.

### New feature setup
You start a new module and quickly generate all necessary interfaces from your existing Drizzle definitions.

## Benefits

- Eliminate manual typing errors by using the interface generation feature to create exact matches for your database columns.
- Catch syntax mistakes early with the schema validation tool before they reach your production environment.
- Maintain strict type safety by auditing any gaps in your mapping via the unmapped column list.
- Speed up full-stack development by automating the bridge between your database and your UI.
- Reduce AI hallucinations by providing your agent with deterministic, code-generated types.

## How It Works

The bottom line is you get perfectly synced types without writing a single line of interface code manually.

1. Paste your Drizzle ORM schema code into your AI client.
2. The MCP parses the table definitions and column types.
3. You receive ready-to-use TypeScript interfaces or validation reports.

## Frequently Asked Questions

**How can I keep my frontend types in sync with Drizzle ORM?**
Use this MCP to automatically generate interfaces from your schema code. This ensures your UI and database stay perfectly aligned.

**Does the Drizzle Schema to TypeScript Generator support PostgreSQL?**
Yes, it handles both `pgTable` and `mysqlTable` definitions for seamless integration across different databases.

**Can I use this to find errors in my database schema?**
Absolutely. You can check your table declarations for syntax errors instantly to prevent broken migrations.

**What happens if a column type is not supported by TypeScript?**
The MCP will identify those specific columns so you can handle them manually or adjust your schema.

**Will this work with my existing Drizzle setup?**
Yes, as long as you have your schema defined in code, the MCP can parse it and generate types for you.

**What Drizzle ORM engines are supported?**
The server supports both PostgreSQL (`pgTable`) and MySQL (`mysqlTable`) syntax.

**How do I handle columns with unsupported types?**
You can use the `list_unmapped_columns` tool to identify any columns that don't have a direct mapping to `string`, `number`, or `boolean`.

**Can I use this with Cursor or Claude Desktop?**
Yes, you can connect this MCP server to Cursor, VS Code, Claude Desktop, Windsurf, and any other MCP-compatible client via Vinkius Edge.