TNZ Communications MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Check Api Health, Create Tnz Contact, Get Account Balance, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect TNZ Communications 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 TNZ Communications app connector for Vercel AI SDK is a standout in the Communication Messaging category — giving your AI agent 12 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 TNZ Communications, 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 TNZ Communications MCP Server
Empower your AI agent with access to the TNZ Group messaging gateway to automate your SMS, Voice, and Fax communications in New Zealand and globally.
The Vercel AI SDK gives every TNZ Communications tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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
- Multichannel Messaging — Send SMS, automated voice calls (Text-to-Speech), and digital faxes programmatically.
- Delivery Oversight — Monitor the real-time status of sent messages and retrieve incoming SMS replies.
- Contact & Group Control — Manage your TNZ address book and organize contacts into groups for broadcast messaging.
- Operational Monitoring — Track your account credit balance and retrieve detailed messaging usage and cost reports.
The TNZ Communications MCP Server exposes 12 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 12 TNZ Communications tools available for Vercel AI SDK
When Vercel AI SDK connects to TNZ Communications through Vinkius, your AI agent gets direct access to every tool listed below — spanning sms-gateway, voice-broadcasting, text-to-speech, 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.
Verify TNZ API connectivity
Add a new contact to TNZ
Check account credit balance
Check delivery status of a message
Retrieve usage and cost reports
List your contact groups
List saved message templates
List inbound SMS replies
List saved contacts in TNZ
Send a document as a fax
Send an SMS message
Send a voice call (Text-to-Speech)
Connect TNZ Communications to Vercel AI SDK via MCP
Follow these steps to wire TNZ Communications 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 TNZ Communications MCP Server
Vercel AI SDK provides unique advantages when paired with TNZ Communications 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 TNZ Communications integration everywhere
Built-in streaming UI primitives let you display TNZ Communications 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
TNZ Communications + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the TNZ Communications MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query TNZ Communications in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate TNZ Communications tools and return structured JSON responses to any frontend
Chatbots with tool use: embed TNZ Communications capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with TNZ Communications through natural language queries
Example Prompts for TNZ Communications in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with TNZ Communications immediately.
"Send a SMS to +6421000000: 'The delivery is arriving at 2 PM today.'"
"What is the status of my message ID 'ref_123'?"
"Check my current TNZ account balance."
Troubleshooting TNZ Communications MCP Server with Vercel AI SDK
Common issues when connecting TNZ Communications to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpTNZ Communications + Vercel AI SDK FAQ
Common questions about integrating TNZ Communications 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.