How to Use the Termii MCP in Vercel AI SDK

Q: How do I connect Termii's messaging tools using the Vercel AI SDK?

You set up the connection by calling mcpClient.tools() and passing those tools to your generation function. The Vercel AI SDK handles streaming the results, so you get real-time data updates in your frontend.

Q: Can I use Termii with OTP verification within my client flow?

Absolutely. Your agent can first trigger a code using sendotp, and then handle user input by calling verifyotp. This two-step process keeps your authentication logic clean and contained.

Get real-time message status updates straight into your React app using the Vercel AI SDK.

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Connect Termii MCP to Vercel AI SDK

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

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Real-Time Messaging Status via MCP Server

When you use `send_sms` or `send_whatsapp`, you don't get a simple 'success' code. This MCP Server streams the real status updates—from sending through to confirmation—directly into your Vercel AI SDK UI. This means your users see data appearing as it happens, not after some loading spinner kicks in. It makes building user-facing products look clean and responsive.

Multi-Channel Communication with Termii MCP Server

Termii supports the channels that actually work across Africa: SMS, WhatsApp, and voice messages. Your agent can send OTPs using `send_otp`, or trigger a standard text message via `send_sms`. It's designed for maximum reach, making it simple to build failover logic into your app without having to manage multiple vendor APIs manually.

Managing Credentials with Termii MCP Server

Before sending anything, you need to know what you've got. Call `check_balance` to see the current account balance, and run `list_sender_ids` if you need to verify which Sender IDs are registered. These basic checks keep your implementation solid. You can manage these necessary setup steps directly through your AI client calls.

Setup guide

Set up Termii 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 Termii 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 Termii transactions",
});

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

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

You set up the connection by calling `mcpClient.tools()` and passing those tools to your generation function. The Vercel AI SDK handles streaming the results, so you get real-time data updates in your frontend.

Absolutely. Your agent can first trigger a code using `send_otp`, and then handle user input by calling `verify_otp`. This two-step process keeps your authentication logic clean and contained.

The MCP Server manages the multi-channel logic for you. If a rich media message fails, you can build in fallbacks—like defaulting to `send_sms`—and your agent handles that failover sequence.

This server primarily handles Sender IDs and OTP codes. It manages the communication logic, not sensitive user account details.

Yes, that's its main value proposition. The SDK lets you stream data as it arrives, meaning when Termii sends a status update—like 'Message Delivered'—the user sees it live in your interface.

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