How to Use the 1msg.io MCP in Mastra AI

Q: How do I load 1msg.io MCP tools into Mastra AI?

Initialize an MCPClient with your Vinkius endpoint URL. Call listTools() and spread the results into your agent's tool array.

Q: How do I handle WhatsApp template approval in Mastra AI using 1msg.io?

You can use the requireToolApproval flag. This pauses the workflow before triggering the template dispatch so a human can review the payload.

Automate complex WhatsApp workflows and handle API failures gracefully using the 1msg.io MCP Server and Mastra AI.

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Connect 1msg.io MCP to Mastra AI

Create your Vinkius account to connect 1msg.io 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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Setup 1msg.io with Mastra AI

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Build resilient WhatsApp notification pipelines

1msg.io connects your Mastra AI agents directly to official WhatsApp channels. Workflows check the connection via `get_status` before attempting to push critical alerts. If the channel is disconnected, the built-in retry logic kicks in automatically. You set exponential backoff rules so the system waits for recovery instead of dropping the alert.

Chain complex customer interactions

Reading inbound queries with `list_messages` serves as the trigger for conditional branching. An agent evaluates the text, decides if it requires a human, or proceeds to respond. Simple questions get a fast reply via `send_message` immediately. Complex requests route to a different branch where an admin approves the action before anything goes out.

Automate document delivery with Mastra AI

Shipping invoices and contracts requires the `send_file` tool provided by this MCP Server. The workflow pulls a generated PDF from your database and pushes it straight to a phone. Marketing campaigns work similarly but rely on `list_templates` to find the right format first. The agent then executes `send_template` to blast the approved message to your audience.

Setup guide

Set up 1msg.io 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 1msg.io 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: "1msgio-mcp-client",
  servers: {
    "1msgio-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "1msg.io Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to 1msg.io tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent 1msg.io 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 1msg.io. 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 1msg.io MCP in Mastra AI

Initialize an `MCPClient` with your Vinkius endpoint URL. Call `listTools()` and spread the results into your agent's tool array.

That is exactly what the workflow engine does. If a network blip causes a failure, the system waits and tries again based on your backoff configuration.

You can use the `requireToolApproval` flag. This pauses the workflow before triggering the template dispatch so a human can review the payload.

The server exposes a specific endpoint for media. Your agent provides the file path or URL and a caption, and the system handles the delivery.

Every tool execution runs in a zero-trust environment. Vinkius processes WhatsApp message logs and recipient phone numbers in memory and immediately discards them once the workflow step completes.

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