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Vinkius

Drizzle ORM Connector for AI agents.

3 live capabilities

Generate precise TypeScript interfaces from your Drizzle ORM schema.

Live agent request Drizzle ORM / Connector

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AI Agent

Why people use Drizzle ORM

Stop manual type drift with Drizzle Schema to TypeScript Generator

With this MCP, that manual work disappears. You just point your agent at your schema, and it generates the exact TypeScript interfaces you need, ensuring your database and UI are always in perfect alignment.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get perfectly synced types without writing a single line of interface code manually.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    Updating a schema

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

  2. Real-world use case 02

    Debugging migrations

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

  3. Real-world use case 03

    Refactoring types

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

Complete set · 3capabilities

The complete Drizzle ORM capability set.

These are the exact actions your AI can choose when you ask it to work with Drizzle ORM.

Capability set01 / 01

01—03

3 capabilities in this set.

Part of 3 available through Drizzle ORM.

  1. 01 Capability

    Generate interfaces

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

  2. 02 Capability

    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.

  3. 03 Capability

    Validate schema

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

Set up in minutes

One URL. Then ask Drizzle ORM to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Drizzle ORM from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_tsmO6mg8kqPEPRw9h3YQ4Hi8g8f9cfoNXPj0sleJ/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it Drizzle ORM, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Drizzle ORM for the conversation.

Where the request belongs

Work Drizzle ORM can move forward.

Built around the request

Full-stack developers and backend engineers who use Drizzle ORM and want to eliminate type mismatches between their database and frontend.

01

Full-stack Engineer

Keeps frontend interfaces perfectly aligned with backend schema changes.

02

Backend Developer

Validates new table migrations for syntax errors before deployment.

03

TypeScript Architect

Ensures the entire application maintains strict type safety across the data layer.

Bring your own AI

Change the model, client or framework. Keep Drizzle ORM connected.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • VS Code
  • Windsurf
  • ZCode
  • Cline
  • Zed
  • Continue
  • Kiro
  • Roo Code
  • Zencoder
  • Goose
  • Void
  • Augment Code
  • Amp
  • Qodo
  • Tabnine
  • Pieces
  • Sourcegraph Cody
  • JetBrains
  • Warp
  • Amazon Q
  • Antigravity
  • BoltAI
  • Raycast
  • Jan
  • LM Studio
  • AnythingLLM
  • Open WebUI
  • Msty
  • Cherry Studio
  • LibreChat
  • TypingMind
  • Chorus
  • 5ire
  • n8n
  • LangChain
  • LlamaIndex
  • CrewAI
  • Vercel AI SDK

Before you connect

Questions about Drizzle ORM.

The practical details behind the request, access and result.

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 capability 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.

One connection away

Give your agent a direct line to Drizzle ORM.

Connect Drizzle ORM once. Keep it beside 5,900+ managed Connectors when the next task needs more.

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