WSLA (WhatsApp) MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 5 tools to Get Whatsapp Media Details, List Whatsapp Templates, Send Whatsapp Reaction, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect WSLA (WhatsApp) through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this App Connector for Vercel AI SDK
The WSLA (WhatsApp) app connector for Vercel AI SDK is a standout in the Industry Titans category — giving your AI agent 5 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 WSLA (WhatsApp), 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 WSLA (WhatsApp) MCP Server
Connect your WhatsApp Business Platform (via Meta Cloud API) to any AI agent to automate your customer communications. WSLA provides a direct bridge to Meta's infrastructure for reliable, scalable messaging.
The Vercel AI SDK gives every WSLA (WhatsApp) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 5 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
- Conversational AI — Send instant text messages to any WhatsApp number during active customer support windows.
- Business Notifications — Use pre-approved message templates for proactive alerts, appointment reminders, and shipping updates.
- Interactive Reactions — Allow your AI agent to react to incoming customer messages with emojis for more natural engagement.
- Template Management — List and search all approved templates associated with your WhatsApp Business Account.
- Media Intelligence — Retrieve details for incoming media to enable multi-modal interactions through your AI agent.
The WSLA (WhatsApp) MCP Server exposes 5 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 5 WSLA (WhatsApp) tools available for Vercel AI SDK
When Vercel AI SDK connects to WSLA (WhatsApp) through Vinkius, your AI agent gets direct access to every tool listed below — spanning whatsapp-api, conversational-ai, business-messaging, 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.
Get media details
List message templates
React to a WhatsApp message
Send a WhatsApp template message
Send a text message via WhatsApp
Connect WSLA (WhatsApp) to Vercel AI SDK via MCP
Follow these steps to wire WSLA (WhatsApp) into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the WSLA (WhatsApp) MCP Server
Vercel AI SDK provides unique advantages when paired with WSLA (WhatsApp) 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 WSLA (WhatsApp) integration everywhere
Built-in streaming UI primitives let you display WSLA (WhatsApp) 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
WSLA (WhatsApp) + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the WSLA (WhatsApp) MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query WSLA (WhatsApp) in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate WSLA (WhatsApp) tools and return structured JSON responses to any frontend
Chatbots with tool use: embed WSLA (WhatsApp) capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with WSLA (WhatsApp) through natural language queries
Example Prompts for WSLA (WhatsApp) in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with WSLA (WhatsApp) immediately.
"Send a WhatsApp message 'Welcome to our service!' to +1234567890."
"List all approved templates for my business account."
Troubleshooting WSLA (WhatsApp) MCP Server with Vercel AI SDK
Common issues when connecting WSLA (WhatsApp) to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpWSLA (WhatsApp) + Vercel AI SDK FAQ
Common questions about integrating WSLA (WhatsApp) 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.