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Mitto MCP Server for Mastra AIGive Mastra AI instant access to 27 tools to Add Masked Number, Add Masking Participant, Cancel 2fa, and more

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Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Mitto through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Ask AI about this MCP Server for Mastra AI

The Mitto MCP Server for Mastra AI is a standout in the Communication Messaging category — giving your AI agent 27 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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+ other MCP clients
typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "mitto": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Mitto Agent",
    instructions:
      "You help users interact with Mitto " +
      "using 27 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Mitto?"
  );
  console.log(result.text);
}

main();
Mitto
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Mitto MCP Server

Connect your Mitto account to any AI agent to handle global communication workflows through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and Mitto tool infrastructure. Connect 27 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

What you can do

  • SMS Messaging — Send single or bulk SMS messages globally with custom sender IDs and delivery tracking.
  • Two-Factor Authentication (2FA) — Generate, send, and verify OTP codes via SMS or Voice channels to secure your user accounts.
  • Number Lookup — Validate phone numbers and retrieve carrier information to ensure deliverability.
  • Usage Analytics — Monitor your SMS and 2FA usage statistics grouped by country or date ranges.
  • Application Management — Manage your Mitto applications and masked numbers for privacy-focused communication.

The Mitto MCP Server exposes 27 tools through the Vinkius. Connect it to Mastra AI in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 27 Mitto tools available for Mastra AI

When Mastra AI connects to Mitto through Vinkius, your AI agent gets direct access to every tool listed below — spanning sms-api, two-factor-authentication, otp-verification, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

add

Add masked number on Mitto

Add a masked number

add

Add masking participant on Mitto

Add a masking participant

cancel

Cancel 2fa on Mitto

Cancel a 2FA OTP request

create

Create masking application on Mitto

Create a number masking application

create

Create masking context on Mitto

Create a masking context

delete

Delete masked number on Mitto

Delete a masked number

delete

Delete masking application on Mitto

Delete a number masking application

delete

Delete masking context on Mitto

Delete a masking context

delete

Delete masking participant on Mitto

Delete a masking participant

get

Get 2fa usage on Mitto

Get 2FA usage records

get

Get sms usage by country on Mitto

Get SMS usage by country

list

List masked numbers on Mitto

List masked numbers

list

List masking applications on Mitto

List number masking applications

list

List masking contexts on Mitto

List masking contexts

list

List masking participants on Mitto

List masking participants

lookup

Lookup number on Mitto

Lookup mobile number information

search

Search 2fa on Mitto

Search 2FA SDRs

search

Search masking interactions on Mitto

Search masking interactions

send

Send 2fa on Mitto

Send a 2FA OTP message

send

Send bulk sms on Mitto

Send bulk SMS messages

send

Send sms on Mitto

Send a single SMS message

set

Set 2fa limits on Mitto

Set 2FA limits

set

Set 2fa workflows on Mitto

g., SMS to Voice) for 2FA. Set 2FA workflows

track

Track sms conversion on Mitto

Track SMS conversion

update

Update masking application on Mitto

Update a number masking application

update

Update masking context on Mitto

Update a masking context

verify

Verify 2fa on Mitto

Verify a 2FA OTP code

Connect Mitto to Mastra AI via MCP

Follow these steps to wire Mitto into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

Mastra discovers 27 tools from Mitto via MCP

Why Use Mastra AI with the Mitto MCP Server

Mastra AI provides unique advantages when paired with Mitto through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Mitto without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Mitto tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Mitto + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Mitto MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Mitto, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Mitto as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Mitto on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Mitto tools alongside other MCP servers

Example Prompts for Mitto in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Mitto immediately.

01

"Send an SMS to +1234567890 saying 'Your order is ready for pickup!' from 'MyStore'."

02

"Send a 2FA verification code to +447700900123."

03

"Lookup the phone number +4915123456789 to see the carrier info."

Troubleshooting Mitto MCP Server with Mastra AI

Common issues when connecting Mitto to Mastra AI through Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Mitto + Mastra AI FAQ

Common questions about integrating Mitto MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

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