How to Use the TNZ Communications MCP in Mastra AI

Build reliable multi-step messaging workflows in Mastra AI with automatic retries and built-in error handling.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect TNZ Communications MCP to Mastra AI

Create your Vinkius account to connect TNZ Communications to Mastra AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup TNZ Communications with Mastra AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Complex messaging workflows

Chain `send_sms_message` with logic gates in your agent framework. If a message fails, you can trigger a fallback using `send_tts_voice_call` automatically. This keeps your notification chain active even when carrier routes are congested. It is the core of a resilient alerting system.

Contact and group management

Organize your outreach with `create_tnz_contact` and `list_contact_groups`. It lets your agents target specific segments without manual database lookups. Your agents can pull the right list every time. It keeps your communications focused and relevant to the recipient's role or status.

Proactive health monitoring

Check your connectivity with `check_api_health` before starting a big blast. If the connection is shaky, your Mastra workflow can pause and alert a human. It prevents wasted credits and failed deliveries. You catch issues before they impact your users.

Setup guide

Set up TNZ Communications MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All TNZ Communications tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "tnz-communications-mcp-client",
  servers: {
    "tnz-communications-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "TNZ Communications Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to TNZ Communications tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent TNZ Communications transactions"
);
console.log(result.text);

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 TNZ Communications. 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.

Built-in savings

60%

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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 TNZ Communications MCP in Mastra AI

Add the server URL to your agent configuration. Mastra handles the tool discovery so you can start calling functions immediately.

Yes. Enable the tool approval flag to force a review before any message or call is actually sent.

Absolutely. Use the reply list tool to ingest customer feedback and route it to the right support agent.

Define your retry policy in the workflow engine. If a tool fails, the engine will automatically attempt the call again based on your settings.

All requests are authenticated via your unique token. We store nothing on our side, and your data stays within the encrypted boundaries of your agent environment.

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