How to Use the Mixmax MCP in Vercel AI SDK

Q: Does this handle large lists of contacts in Vercel AI SDK?

You can use the listcontacts tool to fetch your database. It handles the retrieval so you don't have to manage manual API pagination in your frontend.

Stream real-time Mixmax sales data directly into your Vercel AI SDK frontends for instant UI feedback.

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Connect Mixmax MCP to Vercel AI SDK

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

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Live sequence management for AI SDK

Trigger `add_recipient_to_sequence` directly from your React components to start outreach flows without leaving the browser. Your users watch the state update as the AI interacts with your sales backend. This keeps your application state in sync with your email activity. You avoid the lag of traditional polling by using the Vercel AI SDK to stream responses from the server.

Real-time calendar availability checks

Call `get_availability` to fetch open slots and render them into your interface instantly. You provide prospects with immediate scheduling options based on live calendar data. Your UI updates the moment the tool returns availability. This removes the friction of manual lookup screens while keeping the user experience tight and responsive.

Snippet injection for dynamic emails

Use `list_snippets` to pull frequently used templates into your AI-generated drafts. This ensures your messaging stays consistent with your team's established sales playbooks. Your frontend handles the selection logic while the server fetches the content. It’s a clean way to maintain brand voice while moving fast.

Setup guide

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

You install the MCP client and point it to the Vinkius endpoint. From there, you pass the tools into your generateText calls to enable immediate server interaction.

Yes. Because this MCP server supports streaming, you can pipe tool results directly into your UI components as they arrive.

It is. You simply provide your endpoint token, and the server manages the handshake so your code stays focused on the logic.

You can use the `list_contacts` tool to fetch your database. It handles the retrieval so you don't have to manage manual API pagination in your frontend.

We isolate all requests in a V8 sandbox. Your sensitive contact information never touches the broader environment.

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