How to Use the TextGrid MCP in Mastra AI

Q: What data does TextGrid provide when used with Mastra AI?

The MCP Server provides message content, usage records via getusagestatistics, and account profile details. These are the pieces your complex workflow needs to operate correctly.

Q: Is it possible to manage different compliance regions with TextGrid and Mastra AI?

Yes. You can use the listaccountaddresses tool within a Mastra AI workflow. This verifies that all communication endpoints are registered for specific regulatory zones before sending messages.

Q: Can I monitor API key changes using TextGrid and Mastra AI?

You can use listapikeys to list current credentials within your workflow. This allows the agent to check if keys need refreshing, ensuring continuous operation.

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Setup TextGrid with Mastra AI

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Multi-Step Messaging using MCP Server

You can build a workflow that sends an initial SMS and then retries if it fails. The `send_sms_message` tool is the core action, but you wrap it in Mastra AI's conditional branching logic. This means your process doesn't just stop; it automatically moves to a secondary step—like logging the failure using `get_usage_statistics`—before attempting another method.

Managing Account Data for Stability

Before any workflow runs, you need to check prerequisites. Mastra AI lets your agent run `get_account_details` and verify the current balance. If funds are low, it can halt the entire process gracefully. Furthermore, running `list_account_addresses` ensures that all communication paths adhere to specific regulatory requirements before deployment.

Handling Communication Failures

A key feature is automatic retries with exponential backoff. If an API call fails—say, the credentials expire or a rate limit hits—Mastra AI catches it and re-runs `send_sms_message` later. This robust error handling prevents workflows from simply crashing out. It keeps complex processes running until the intended outcome is achieved.

Setup guide

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

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

const result = await agent.generate(
  "List recent TextGrid 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 TextGrid. 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 TextGrid MCP in Mastra AI

Mastra AI handles this by building automatic retries into your workflow. If a call to `send_sms_message` fails due to temporary network issues, the platform automatically reattempts it using exponential backoff.

The MCP Server provides message content, usage records via `get_usage_statistics`, and account profile details. These are the pieces your complex workflow needs to operate correctly.

Yes. You can use the `list_account_addresses` tool within a Mastra AI workflow. This verifies that all communication endpoints are registered for specific regulatory zones before sending messages.

You can use `list_api_keys` to list current credentials within your workflow. This allows the agent to check if keys need refreshing, ensuring continuous operation.

The server touches message content (SMS/MMS), usage statistics, and account addresses. Since your workflow is autonomous, you must ensure the stored failure reasons in `get_usage_statistics` adhere to local compliance rules.

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