How to Use the Wati Alternative MCP in Vercel AI SDK

Q: How do I check Wati Alternative status using Vercel AI SDK?

Use getchatbots to pull a list of all available chatbots. This confirms what automation is running on the backend. The result streams right into your UI, giving you real-time visibility into the system's current capabilities.

Q: Can I assign an operator using Wati Alternative with Vercel AI SDK?

Yep. Call assignoperator and you'll see which operator is assigned to the chat session. This information streams back immediately, letting your app update the UI without a refresh.

Q: Does Wati Alternative support sending messages with Vercel AI SDK?

Yes, you can use sendtemplatemessage to send pre-approved WhatsApp templates. This function sends the message and returns a status that streams back. You manage communication flow without needing complex backend setup.

Stream WhatsApp communications and manage contacts in real time with Vercel AI SDK.

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Connect Wati Alternative MCP to Vercel AI SDK

Create your Vinkius account to connect Wati Alternative 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 Wati Alternative with Vercel AI SDK

Ask AI about this MCP

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Claude

Perplexity

Send pre-approved chat templates.

You can initiate conversations immediately by running the `send_template_message` tool. This sends a WhatsApp template to a specific person, making sure your brand message hits exactly when you need it. It's perfect for user onboarding or status updates. Just call this function and watch the data stream directly into your React UI without any loading spinners.

Get contact details from Wati.

Need to know who you’re talking to? The `get_contacts` tool pulls a list of contacts directly from Wati. This data appears live, letting your client use the information instantly for context. It's great for building frontends that need immediate user knowledge. You just call it, and the results flow right into your component tree.

Manage chatbots and operators.

The `get_chatbots` tool retrieves all existing chatbots connected to Wati. This lets your client list what automation is available for the user to see. Furthermore, you can use `assign_operator` to hand off a chat session. The result streams back, letting your application show which human staff member takes over the conversation.

Setup guide

Set up Wati Alternative 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 Wati Alternative 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 Wati Alternative 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 Wati. 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

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

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Common questions about Wati Alternative MCP in Vercel AI SDK

Use `get_chatbots` to pull a list of all available chatbots. This confirms what automation is running on the backend. The result streams right into your UI, giving you real-time visibility into the system's current capabilities.

This MCP Server touches contact information and chat session details. Specifically, calling `get_contacts` retrieves user profile data. Your agent handles the flow of this contact list directly into your frontend components.

Yep. Call `assign_operator` and you'll see which operator is assigned to the chat session. This information streams back immediately, letting your app update the UI without a refresh.

Absolutely. Since this MCP Server is designed to stream results, it works perfectly in Next.js and other client-side frameworks. You see the data appear live—it's built for that kind of real-time interaction.

Yes, you can use `send_template_message` to send pre-approved WhatsApp templates. This function sends the message and returns a status that streams back. You manage communication flow without needing complex backend setup.

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