How to Use the Handwrytten MCP in Vercel AI SDK

Q: Can I show Handwrytten card previews in Vercel AI SDK?

Yes. Use listcards to fetch available designs and render the image URLs in your React components. This lets users see what they are sending before the agent executes the request.

Q: How do I handle shipping data with Handwrytten and Vercel AI SDK?

Use listaddressbook to pull existing contacts into your app state. This avoids manual entry and ensures you are sending cards to valid, pre-stored addresses.

Trigger physical mail from your Vercel AI SDK apps. Automate handwritten notes with real-time feedback in your React or Next.js UI.

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Connect Handwrytten MCP to Vercel AI SDK

Create your Vinkius account to connect Handwrytten to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Handwrytten with Vercel AI SDK

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Claude

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Direct mail automation for Vercel AI SDK

Trigger physical card delivery directly from your application logic. Use `send_card` to bypass digital noise and reach customers on their doorstep. Your UI updates instantly as the MCP server processes requests. You get immediate status updates without waiting for background batch jobs to finish.

Manage card inventory and fonts

Fetch available stationery and handwriting styles using `list_cards` and `list_fonts`. Display these choices directly in your frontend components so users can customize their mail. Keep your design consistent by pulling current templates from `list_templates`. This ensures your app always reflects the latest brand assets without hardcoding values.

Monitor order status in your dashboard

Track the lifecycle of every mailing using `get_order` and `list_orders`. Surface delivery status or shipping updates inside your own interface for a unified experience. Check your account health with `get_credit_balance` before triggering a campaign. Catch potential issues early by surfacing balance alerts directly to your admin dashboard.

Setup guide

Set up Handwrytten MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Handwrytten tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Handwrytten transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Handwrytten. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Handwrytten MCP in Vercel AI SDK

Install the MCP client packages and point your transport to the server URL. Use `generateText` to pass the tools into your agent execution flow.

Yes. Use `list_cards` to fetch available designs and render the image URLs in your React components. This lets users see what they are sending before the agent executes the request.

It does. Tool results stream back to your client as they finish. You can display the order ID or confirmation status to the user the moment the API responds.

The server runs in an isolated sandbox. Your endpoint tokens keep the connection private and prevent unauthorized access to your credit balance.

Use `list_address_book` to pull existing contacts into your app state. This avoids manual entry and ensures you are sending cards to valid, pre-stored addresses.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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