How to Use the Avochato MCP in Vercel AI SDK

Q: How do I connect Avochato to my Vercel AI SDK project?

Install the @ai-sdk/mcp package and initialize the client using the Vinkius HTTP endpoint. Pass the tools returned by the client directly into streamText or generateText to let your agent call them.

Q: How does the Avochato integration handle high-volume text broadcasts in Vercel AI SDK?

The createbroadcast tool hands the heavy lifting off to Avochato's infrastructure. Your Vercel AI SDK app only needs to trigger the call and can then spin down, saving you execution costs on your serverless billing.

Feed live Avochato SMS updates and contact lists directly into your Next.js frontend using the Vercel AI SDK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Avochato MCP to Vercel AI SDK

Create your Vinkius account to connect Avochato 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.

GDPR Free for Subscribers

Setup Avochato with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Send live SMS text messages directly from your React app

The `send_message` tool lets your Vercel AI SDK application send SMS and MMS messages instantly without making you write custom backend API endpoints. By hooking this tool directly into your streaming text generation, your users watch the text dispatch in real-time as the model decides to send it. You don't have to build loading spinners or wait for heavy API roundtrips. The UI updates the moment the message goes out, giving your users immediate feedback.

Sync contacts in real-time using this MCP Server

This MCP Server exposes the `create_contact` and `update_contact` tools to keep your CRM database in lockstep with your user interface. Your frontend agent reads user inputs from a form and fires off updates to Avochato instantly, updating the UI state while the stream runs. If a customer changes their phone number or name, the Vercel AI SDK UI reflects that change immediately. No page refreshes are needed because the Edge-compatible client handles the state updates on the fly.

Run heavy text broadcasts from Edge Functions

The `create_broadcast` tool schedules large-scale SMS campaigns directly from Edge-compatible functions. Your AI client evaluates your user segments, drafts the copy, and triggers the broadcast without hitting execution timeout limits. Because Vercel AI SDK handles streaming so well, you can show the progress of the campaign creation step-by-step. The agent calls `list_broadcasts` to verify delivery status and feeds that status straight to the user's screen.

Setup guide

Set up Avochato 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 Avochato 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 Avochato 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 Avochato. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Avochato now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Avochato MCP in Vercel AI SDK

Install the `@ai-sdk/mcp` package and initialize the client using the Vinkius HTTP endpoint. Pass the tools returned by the client directly into `streamText` or `generateText` to let your agent call them.

Yes, the server runs on Vinkius's V8 isolate sandbox, which communicates over standard HTTP. This means your Next.js Edge Functions can call Avochato tools without cold starts or Node.js-specific dependencies.

The `create_broadcast` tool hands the heavy lifting off to Avochato's infrastructure. Your Vercel AI SDK app only needs to trigger the call and can then spin down, saving you execution costs on your serverless billing.

No, Vinkius manages the authentication layer securely. Your Vercel AI SDK application uses a single secure endpoint token to access the MCP Server tools, keeping your raw API credentials safe from the browser.

All messaging logs, contact details, and API credentials stay within our zero-trust, ephemeral sandbox. Vinkius does not store the content of your SMS or MMS messages, acting purely as a secure proxy between your frontend and Avochato.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript