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Tatango MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 12 tools to Add New Sms Subscriber, Check Api Health, Create Broadcast Campaign, and more

Built by Vinkius GDPR 12 Tools SDK

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

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Tatango app connector for Vercel AI SDK is a standout in the Communication Messaging category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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 Tatango, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Tatango
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 Tatango MCP Server

Connect your Tatango account to any AI agent and simplify how you manage your high-volume SMS marketing, subscriber lists, and campaign outreach through natural conversation.

The Vercel AI SDK gives every Tatango tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 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

  • Subscriber Management — List and search subscribers, add new phone numbers to lists, and handle unsubscribes programmatically.
  • Broadcast Campaigns — Create and send mass SMS campaigns to specific marketing lists and monitor their performance.
  • Transactional SMS — Send one-to-one non-marketing messages like alerts, receipts, and notifications.
  • List Oversight — Manage your marketing directories by listing and inspecting metadata for each subscriber list.
  • Webhook Monitoring — List active webhooks to ensure your outbound events and integrations are running smoothly.
  • Account Visibility — Fetch your profile details and check API health directly from the agent.

The Tatango MCP Server exposes 12 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 Tatango tools available for Vercel AI SDK

When Vercel AI SDK connects to Tatango through Vinkius, your AI agent gets direct access to every tool listed below — spanning sms-marketing, mms-campaigns, tcpa-compliance, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

add_new_sms_subscriber

Can trigger an opt-in confirmation. Add a subscriber to a list

check_api_health

Verify Tatango API connectivity

create_broadcast_campaign

Create and send a broadcast message

get_account_profile

Get authenticated account info

get_list_details

Get details for a specific list

get_subscriber_details

Get info for a specific phone number

list_configured_webhooks

List active webhooks

list_sms_campaigns

List all broadcast campaigns

list_sms_marketing_lists

List all marketing lists

list_sms_subscribers

List subscribers for a specific list

send_transactional_sms

g., receipt, alert) to a phone number. Max 160 chars. Send a one-to-one transactional message

unsubscribe_phone_number

Remove a subscriber from a list

Connect Tatango to Vercel AI SDK via MCP

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

01

Install dependencies

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

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

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

Explore tools

The SDK discovers 12 tools from Tatango and passes them to the LLM

Why Use Vercel AI SDK with the Tatango MCP Server

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

01

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

02

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

03

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

04

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

Tatango + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for Tatango in Vercel AI SDK

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

01

"List all my SMS marketing lists."

02

"Send a broadcast to the 'Volunteer Alerts' list: 'Meeting relocated to Hall B. See you there!'."

03

"Add +15550199 to the 'Main Supporters' list."

Troubleshooting Tatango MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Tatango + Vercel AI SDK FAQ

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

01

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.
02

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.
03

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.