How to Use the Mitto MCP in Mastra AI

Q: Can Mitto and Mastra AI handle complex auth logic?

Absolutely. You can chain set2falimits and send2fa inside your agent's code. This lets you build custom rate-limiting policies that trigger automatically.

Q: Does Mastra AI support human-in-the-loop for Mitto actions?

Yes. Enable requireToolApproval in your agent config. Any attempt to sendbulksms will pause until a human reviews the action.

Build resilient communication workflows in Mastra AI with automated retries and conditional branching for your messaging stack.

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Connect Mitto MCP to Mastra AI

Create your Vinkius account to connect Mitto 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 Mitto with Mastra AI

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Automated 2FA workflows for Mastra AI

Configure complex authentication sequences using `set_2fa_workflows`. You define the logic once, and the agent handles the failover if a delivery path is blocked. Need a backup plan? The agent executes `cancel_2fa` or switches methods based on the real-time response. It ensures your security protocols don't break under pressure.

Manage masking contexts in Mastra AI

Create and update number masking applications using `create_masking_context` inside your agent workflow. It keeps your user identities private during peer-to-peer interactions. You can list and audit these interactions with `search_masking_interactions`. The agent keeps track of every participant attached to a specific session.

Handle messaging failures in Mastra AI

Leverage the built-in workflow engine to retry `send_sms` calls when carrier issues arise. You define the retry logic, and the agent manages the state. If a message fails, the agent checks the logs and attempts a different route. It turns fragile API calls into reliable system processes.

Setup guide

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

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

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

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Common questions about Mitto MCP in Mastra AI

Install the MCP client package and add the server URL to your agents. Mastra AI will auto-detect the tools and make them available for your workflow tasks.

Absolutely. You can chain `set_2fa_limits` and `send_2fa` inside your agent's code. This lets you build custom rate-limiting policies that trigger automatically.

Yes. Enable `requireToolApproval` in your agent config. Any attempt to `send_bulk_sms` will pause until a human reviews the action.

Review the agent execution logs. Every tool call, including inputs and outputs, is recorded so you can trace why a specific message was sent.

The server uses specific masking tools to replace raw phone numbers with virtual proxies. This ensures your primary data remains isolated from the messaging participants.

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