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

Name: Mitto
Price: 29 USD
Availability: InStock
Rating: 2.2 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Mitto through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

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The Mitto MCP Server for Vercel AI SDK 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 { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

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

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Mitto, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();

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.

The Vercel AI SDK gives every Mitto tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 27 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

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 Vercel AI SDK 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 Vercel AI SDK

When Vercel AI SDK 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 2fa on Mitto

Search 2FA SDRs

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 Vercel AI SDK via MCP

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

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the script

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

Explore tools

The SDK discovers 27 tools from Mitto and passes them to the LLM

Why Use Vercel AI SDK with the Mitto MCP Server

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

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Mitto integration everywhere

Built-in streaming UI primitives let you display Mitto tool results progressively in React, Svelte, or Vue components

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Mitto + Vercel AI SDK Use Cases

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

AI-powered web apps: build dashboards that query Mitto in real-time and stream results to the UI with zero loading states

API backends: create serverless endpoints that orchestrate Mitto tools and return structured JSON responses to any frontend

Chatbots with tool use: embed Mitto capabilities into conversational interfaces with streaming responses and tool call visibility

Internal tools: build admin panels where team members interact with Mitto through natural language queries

Example Prompts for Mitto in Vercel AI SDK

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

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

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

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

Troubleshooting Mitto MCP Server with Vercel AI SDK

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

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Mitto + Vercel AI SDK FAQ

Common questions about integrating Mitto MCP Server with Vercel AI SDK.

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

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