How to Use the Vonage MCP in Mastra AI
Build self-correcting communication workflows with Mastra AI's robust workflow engine.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Vonage MCP in Mastra AI
Prerequisites
- Node.js 18+ and a TypeScript project
-
@mastra/mcp+@mastra/corepackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install @mastra/mcp @mastra/coreplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Configure the MCPClient
Create an
MCPClientwith your Vinkius endpoint as aURLobject. 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'stoolsobject. All Vonage tools become native Mastra tools. - 4
Run with any model
Swap
openai("gpt-4o")for any AI SDK-compatible provider. Callagent.generate()and the agent routes tool calls through MCP automatically.
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.
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Common questions about Vonage MCP in Mastra AI
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