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How to Use the Minutemailer MCP in Vercel AI SDK

Stream Minutemailer contact lists and email templates directly into your Next.js frontend using the Vercel AI SDK.

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Vercel AI SDK

Connect Minutemailer MCP to Vercel AI SDK

Create your Vinkius account to connect Minutemailer 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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Search Minutemailer Contacts Live via Vercel AI SDK

The `list_contacts` tool pulls your subscriber directory directly into your streaming UI components. When a user queries a customer name, the search execution happens on the edge, outputting raw contact details instantly without waiting for a full page reload. You feed this tool directly into `streamText` to let your agent format the output as clean React elements. The client handles the incoming chunks, rendering active contact records on the screen the millisecond the API responds.

Dynamic Template Selection

The `list_templates` tool retrieves your saved newsletter layouts for instant selection inside your chat interface. Your frontend agent reads the layout options and displays them as interactive cards that users can select with a click. You configure this by passing the MCP server tools array to `generateText`. This eliminates the need to build custom API routes or write boilerplate fetch calls to display your marketing assets.

Direct Contact Provisioning

The `create_contact` tool registers new subscribers directly through your MCP connection. If a user drops their email in your input box, the agent executes the write operation immediately. This setup runs inside lightweight Edge Functions to keep latency low. The agent verifies the list destination with `list_contact_lists` before committing the new email address to your database.

Setup guide

Set up Minutemailer 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and use tools

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

  4. 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 Minutemailer transactions",
});

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Minutemailer. 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 Minutemailer MCP in Vercel AI SDK

Call `list_templates` through `streamText` to render layouts in your frontend. The SDK streams the data chunks directly into your UI components without loading delays.
Yes, you pass `create_contact` to the tools parameter of your model execution block. This lets your chat interface add emails to lists on the fly.
The SDK relies on your Vinkius endpoint to manage connection pooling. If your agent calls `list_contacts` repeatedly, the MCP wrapper buffers the requests to prevent rate limiting.
No, you use `list_contact_lists` directly within the tools configuration block. The SDK handles the streaming state machine automatically.
Your contact records and subscription lists never touch external databases. Vinkius runs the MCP Server in an ephemeral V8 sandbox, encrypting your credentials and discarding memory state immediately after execution.

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