How to Use the Mailsac MCP in Vercel AI SDK

Q: How do I connect the Mailsac MCP Server to Vercel AI SDK?

Use the createMCPClient function with an HTTP transport. Pass your server URL and call mcpClient.tools() to expose the endpoints to your agent.

Q: Can my Vercel AI SDK app read HTML emails from Mailsac?

Yes. The gethtmlmessagebody tool fetches the sanitized HTML payload. Your frontend can render this directly for the user.

Q: Does the Mailsac MCP Server support custom domains?

It does. You can call listcustomdomains to see which private domains are available for your account before reserving an address.

Give your Vercel AI SDK frontend the ability to spin up disposable inboxes and stream email contents right to the user.

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Connect Mailsac MCP to Vercel AI SDK

Create your Vinkius account to connect Mailsac 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 Mailsac with Vercel AI SDK

Ask AI about this MCP

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Perplexity

Generate Inboxes on the Fly

The Mailsac MCP Server lets your agent spin up disposable addresses instantly. You pass the domain, and it calls `reserve_new_address` to lock down the inbox. Hook this into your Next.js app, and the Vercel AI SDK streams the new address directly to the UI. Users don't wait for a spinner to see their temporary email.

Stream Inbound Email Content

Testing password resets usually sucks. Now your agent just calls `list_inbox_messages` to poll the inbox for incoming mail. Once the message hits, it grabs the contents with `get_html_message_body`. Because you are streaming the result, the confirmation code renders in your React component the second it arrives.

Clean Up Test Artifacts

Leaving test emails lying around is a bad habit. Your agent cleans up its own mess without needing extra API routes. A quick call to `delete_inbox_message` wipes the specific email. If you are totally done with the address, `release_reserved_address` frees up the Mailsac resource entirely.

Setup guide

Set up Mailsac 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 Mailsac 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 Mailsac 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 Mailsac. 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 Mailsac MCP in Vercel AI SDK

Use the `createMCPClient` function with an HTTP transport. Pass your server URL and call `mcpClient.tools()` to expose the endpoints to your agent.

Yes. The `get_html_message_body` tool fetches the sanitized HTML payload. Your frontend can render this directly for the user.

You need to account for polling delays. If your agent hits the endpoints too fast, the stream might pause while waiting for the next valid response.

It does. You can call `list_custom_domains` to see which private domains are available for your account before reserving an address.

Mailsac processes the raw HTML body. Your agent pulls that exact text into memory, and it streams to the client browser. Keep actual user PII out of these test inboxes to avoid leaking data to your LLM.

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