How to Use the AvoSMS MCP in Mastra AI

Q: How do I connect AvoSMS to my Mastra AI workflows?

Install @mastra/mcp@latest and initialize the MCP client with your Vinkius URL. Register the tools returned by mcpClient.listTools() into your Mastra agent definition.

Q: Can Mastra AI handle rate limits when sending bulk texts via AvoSMS?

Yes. You can build a Mastra workflow that checks getbalance and spaces out sendsms calls using built-in delay steps to respect carrier limits.

Q: How do I require approval before AvoSMS sends a message in Mastra AI?

Set requireToolApproval to true in your Mastra configuration. This pauses the workflow before sendsms executes, waiting for a human to greenlight the text.

Q: How does Mastra AI handle incoming SMS replies from AvoSMS?

You can set up a cron workflow that calls listresponses every minute. The agent then processes each incoming text and decides whether to trigger a customer support alert.

Build resilient, self-healing SMS workflows with Mastra AI and the AvoSMS MCP Server.

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Setup AvoSMS with Mastra AI

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Resilient Mastra AI workflow retries

If a `send_sms` call fails due to carrier issues, Mastra AI automatically retries the dispatch before alerting your team. The system checks `get_balance` first, verifies the account via `get_account_check`, and only triggers the dispatch when conditions are green. You define the retry budget directly in your TypeScript workflows. This setup keeps your automated campaigns running even when carrier networks experience transient downtime.

Automated subscriber list grooming

Your Mastra agent uses `list_lists` to find outdated groups and then runs `delete_list` to keep your subscriber databases clean. New signups trigger a workflow that runs `create_list` and populates it with `add_contact`. These data cleaning routines run entirely in the background. You don't have to worry about manual database maintenance or stale contact records.

Managed sender ID provisioning

Managing outbound sender reputation programmatically relies on listing active IDs via `list_senders` and requesting new ones with `create_sender`. If a sender ID gets flagged or retired, the agent calls `delete_sender` to prune it. This automated rotation keeps your deliverability rates high. Your marketing campaigns run smoothly without manual intervention.

Setup guide

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

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AvoSMS. 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 AvoSMS MCP in Mastra AI

Install `@mastra/mcp@latest` and initialize the MCP client with your Vinkius URL. Register the tools returned by `mcpClient.listTools()` into your Mastra agent definition.

Yes. You can build a Mastra workflow that checks `get_balance` and spaces out `send_sms` calls using built-in delay steps to respect carrier limits.

Set `requireToolApproval` to true in your Mastra configuration. This pauses the workflow before `send_sms` executes, waiting for a human to greenlight the text.

You can set up a cron workflow that calls `list_responses` every minute. The agent then processes each incoming text and decides whether to trigger a customer support alert.

Your text message content and recipient lists are processed in transit. Vinkius encrypts all credentials at rest and executes calls in ephemeral sandboxes, meaning your keys never touch Mastra's servers directly.

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