Termii MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 6 tools to Check Balance, List Sender Ids, Send Otp, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Termii through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The Termii app connector for Vercel AI SDK is a standout in the Communication Messaging category — giving your AI agent 6 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Termii, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Termii MCP Server
Connect your Termii account to any AI agent and simplify how you manage your global messaging, secure verification, and multi-channel engagement through natural conversation.
The Vercel AI SDK gives every Termii tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Multi-channel Messaging — Send standard SMS and WhatsApp messages to recipients worldwide with reliable delivery tracking.
- Secure Verification (OTP) — Send and verify one-time passwords (OTP) programmatically to secure your user onboarding and transactions.
- Sender ID Management — List all registered Sender IDs to ensure your messages are delivered with recognized branding.
- Financial Monitoring — Check your account balance and track credit usage for your messaging campaigns directly from the agent.
- Global Coverage — Reach users across different channels (SMS, WhatsApp, Voice) using Termii's unified communication infrastructure.
- Real-time Oversight — Monitor transaction statuses and verify identity tokens instantly via AI commands.
The Termii MCP Server exposes 6 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 6 Termii tools available for Vercel AI SDK
When Vercel AI SDK connects to Termii through Vinkius, your AI agent gets direct access to every tool listed below — spanning multi-channel-messaging, otp-verification, whatsapp-business, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Check account balance
List all registered Sender IDs
Pass options in JSON. Send a one-time password
Pass data as a JSON string. Send an SMS message
Pass data as a JSON string. Send a WhatsApp message
Verify an OTP code
Connect Termii to Vercel AI SDK via MCP
Follow these steps to wire Termii into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Termii MCP Server
Vercel AI SDK provides unique advantages when paired with Termii through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Termii integration everywhere
Built-in streaming UI primitives let you display Termii tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Termii + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Termii MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Termii in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Termii tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Termii capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Termii through natural language queries
Example Prompts for Termii in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Termii immediately.
"Send a verification code (OTP) to +15550199."
"Check my account balance."
"List all Sender IDs registered for my account."
Troubleshooting Termii MCP Server with Vercel AI SDK
Common issues when connecting Termii to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpTermii + Vercel AI SDK FAQ
Common questions about integrating Termii MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.