How to Use the MessageBird MCP in Mastra AI

Q: Can Mastra AI handle MessageBird retries?

Yes, you configure the agent to catch errors from sendsms. The workflow engine will handle the backoff and retry logic for you.

Q: Does MessageBird support human-in-the-loop in Mastra AI?

You can set a tool approval requirement for sendsms. The agent stops and waits for your confirmation before it pushes the message to the network.

Q: Can I audit MessageBird logs with Mastra AI?

Use listmessages to pull historical records. The agent can then analyze these logs to identify patterns or delivery issues.

Build resilient communication workflows in Mastra AI with automated MessageBird error handling and retries.

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Connect MessageBird MCP to Mastra AI

Create your Vinkius account to connect MessageBird 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 MessageBird with Mastra AI

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Automated MessageBird SMS workflows

Chain `send_sms` calls inside your Mastra AI agents to handle complex notification sequences. If a network error occurs, the framework triggers a retry automatically. You define the logic for when to ping a user based on specific events. The system ensures the message reaches the destination without manual intervention.

Conditional contact management

Use `list_contacts` and `get_group` to segment your audience before running a broadcast. The agent evaluates the data and decides which list to target. This prevents sending irrelevant alerts to the wrong users. The agent checks the group status and only acts if the criteria match your requirements.

Platform state monitoring

Monitor your infrastructure health using `list_channels` and `get_balance`. The workflow engine checks these values before starting any large campaigns. If your balance drops below a threshold, the agent pauses the execution. It prevents failed jobs by checking the account status before it commits to sending.

Setup guide

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

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

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

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Common questions about MessageBird MCP in Mastra AI

Yes, you configure the agent to catch errors from `send_sms`. The workflow engine will handle the backoff and retry logic for you.

You add the server URL to your agent configuration. The framework auto-discovers the tools and makes them available for your agent to call.

You can set a tool approval requirement for `send_sms`. The agent stops and waits for your confirmation before it pushes the message to the network.

Use `list_messages` to pull historical records. The agent can then analyze these logs to identify patterns or delivery issues.

The server uses a dedicated sandbox for every request. Only the specific contact data requested by your agent is ever exposed to the runtime.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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