Gallabox MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Gallabox 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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Vinkius supports streamable HTTP and SSE.
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 Gallabox, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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 Gallabox MCP Server
Connect your Gallabox account to any AI agent to automate your WhatsApp Business messaging and customer engagement through the Model Context Protocol (MCP). Gallabox is a leading WhatsApp automation platform that enables teams to handle shared inboxes, deploy bots, and send transactional notifications at scale. This MCP server enables you to send real-time messages, track chat histories, and manage your contact database directly through natural conversation.
The Vercel AI SDK gives every Gallabox 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.
Key Features
- WhatsApp Messaging — Send standard text messages or pre-approved rich media templates to your customers instantly.
- Chat Oversight — List all active WhatsApp conversations, check their current status, and monitor recent engagement.
- Message Threading — Fetch the complete message history for any specific conversation ID to maintain context before replying.
- Contact Management — Access your WhatsApp contact database, retrieve detailed profiles, and verify phone numbers.
- Template Discovery — List all approved message templates available in your account to ensure compliant outreach.
- Channel Management — Access configured WhatsApp Business channels and identify unique Channel IDs for routing.
- Workforce Collaboration — List support teams and verify your own profile metadata to optimize chat assignments.
- Real-time Synchronization — Keep your WhatsApp communication accessible to your AI assistant without leaving your primary workspace.
The Gallabox 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.
How to Connect Gallabox to Vercel AI SDK via MCP
Follow these steps to integrate the Gallabox MCP Server with Vercel AI SDK.
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 12 tools from Gallabox and passes them to the LLM
Why Use Vercel AI SDK with the Gallabox MCP Server
Vercel AI SDK provides unique advantages when paired with Gallabox 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 Gallabox integration everywhere
Built-in streaming UI primitives let you display Gallabox 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
Gallabox + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Gallabox MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Gallabox in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Gallabox tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Gallabox capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Gallabox through natural language queries
Gallabox MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect Gallabox to Vercel AI SDK via MCP:
get_chat_details
Get thread metadata
get_contact_details
Get contact metadata
get_my_profile
Get account profile
list_active_chats
List chat threads
list_message_templates
List WhatsApp templates
list_support_teams
List Gallabox teams
list_thread_messages
List message history
list_whatsapp_channels
List active channels
list_whatsapp_contacts
List chat contacts
send_whatsapp_template
Send template message
send_whatsapp_text
Send WhatsApp message
verify_api_connection
Check connection
Example Prompts for Gallabox in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Gallabox immediately.
"Send a WhatsApp message to '+1234567890' saying 'Hello from AI!'."
"List all my approved WhatsApp templates."
"Show the message history for conversation 'conv_987'."
Troubleshooting Gallabox MCP Server with Vercel AI SDK
Common issues when connecting Gallabox to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpGallabox + Vercel AI SDK FAQ
Common questions about integrating Gallabox MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
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?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Gallabox with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Gallabox to Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.