2,500+ MCP servers ready to use
Vinkius

Gupshup Messaging MCP Server for Vercel AI SDK 6 tools — connect in under 2 minutes

Built by Vinkius GDPR 6 Tools SDK

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

Vinkius supports streamable HTTP and SSE.

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

main();
Gupshup Messaging
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 Gupshup Messaging MCP Server

Connect Gupshup to any AI agent and automate your WhatsApp Business communications — send template messages, media, interactive buttons, and reactions through natural conversation.

The Vercel AI SDK gives every Gupshup Messaging tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 6 tools through the 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

  • Template Messages — Send pre-approved WhatsApp templates for notifications and alerts
  • Free Text — Send quick text messages within the 24-hour session window
  • Media Sharing -- Share images, videos, audio, and documents via public URLs
  • Interactive Buttons -- Send quick reply buttons to engage users
  • Reactions -- React to specific messages with emojis

The Gupshup Messaging MCP Server exposes 6 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.

How to Connect Gupshup Messaging to Vercel AI SDK via MCP

Follow these steps to integrate the Gupshup Messaging MCP Server with Vercel AI SDK.

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 6 tools from Gupshup Messaging and passes them to the LLM

Why Use Vercel AI SDK with the Gupshup Messaging MCP Server

Vercel AI SDK provides unique advantages when paired with Gupshup Messaging 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 Gupshup Messaging integration everywhere

03

Built-in streaming UI primitives let you display Gupshup Messaging 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

Gupshup Messaging + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Gupshup Messaging MCP Tools for Vercel AI SDK (6)

These 6 tools become available when you connect Gupshup Messaging to Vercel AI SDK via MCP:

01

get_template_info

Get information about a specific template

02

send_interactive_message

Provide up to 3 buttons in a JSON array. Send an interactive message with buttons

03

send_media_message

Type can be image, video, audio, or document. Send a media message (Image, Video, Document, Audio)

04

send_reaction

React to a message with an emoji

05

send_template_message

Provide recipient phone number, template name, language code (e.g., en_US), and an array of string parameters to fill the template. Send a WhatsApp template message

06

send_text_message

Send a free-form text message

Example Prompts for Gupshup Messaging in Vercel AI SDK

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

01

"Send a template 'order_confirmation' in en_US to 5511999999999 with params ['12345']."

02

"Send an interactive message to 5511999999999 asking 'Did you receive your order?' with buttons 'Yes' and 'No'."

03

"React with a thumbs up emoji to message ID msg_123 for user 5511999999999."

Troubleshooting Gupshup Messaging MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Gupshup Messaging + Vercel AI SDK FAQ

Common questions about integrating Gupshup Messaging 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.

Connect Gupshup Messaging to Vercel AI SDK

Get your token, paste the configuration, and start using 6 tools in under 2 minutes. No API key management needed.