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How to Use the Vonage MCP in Mastra AI

Build self-correcting communication workflows with Mastra AI's robust workflow engine.

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Works with every AI agent you already use

…and any MCP-compatible client

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Mastra AI

Connect Vonage MCP to Mastra AI

Create your Vinkius account to connect Vonage to Mastra AI 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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Orchestrate multi-channel messages.

Mastra AI can manage complex routing. You start by sending a message using `send_sms`, but the workflow continues if payment fails, perhaps retrying with a Viber message via `send_viber_message`. This handles failover logic automatically. The framework supports conditional branching; for instance, if the WhatsApp attempt (`send_whatsapp_message`) times out, it can trigger an admin notification instead of failing completely.

Manage and update virtual phone numbers.

Maintaining reliable communication requires knowing your assets. The `list_rented_numbers` tool provides a list of all virtual phone numbers rented to the account. You can also use `update_number_webhook` whenever an inbound SMS callback URL needs changing for a specific number. This setup ensures that even if you change your backend endpoint, the workflow knows where to listen for incoming messages.

Design complex 2FA workflows.

Building secure authentication requires multiple steps. The Mastra AI client handles this by first calling `start_verification`, which sends an OTP code to a target number. Later in the workflow, it uses `check_verification_code` to validate the user's input. If the check fails after three attempts, the exponential backoff logic kicks in and notifies the administrator instead of just failing silently.

Setup guide

Set up Vonage 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and inject tools

    Call mcpClient.listTools() and spread the result into your agent's tools object. All Vonage tools become native Mastra tools.

  4. 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: "vonage-mcp-client",
  servers: {
    "vonage-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Vonage. 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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Real-time monitoring

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visibility into every interaction

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

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

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 Vonage MCP in Mastra AI

Use `get_account_balance` to check your current credit balance at any point in the workflow. This status update allows you to implement pre-flight checks before attempting communication.
Yes, it uses `send_whatsapp_message`. The system requires a verified WhatsApp Business Number as the sender credential for this tool to function correctly within your workflow.
You must call `update_number_webhook` and provide the specific virtual number in E.164 format. This updates the inbound SMS callback URL for that resource within your overall process.
The workflow touches communication credentials like target phone numbers (E.164), account credit balance, and specific Viber Publisher IDs required for messaging.
Mastra AI's built-in retry logic handles failures gracefully. It can automatically re-attempt sending messages or running steps if the initial attempt fails.

Start using the Vonage MCP today

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