Wati MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 13 tools to Add Contact, Check Wati Status, Get Contact, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Wati 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 Wati app connector for Vercel AI SDK is a standout in the Communication Messaging category — giving your AI agent 13 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 Wati, 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 Wati MCP Server
Connect your Wati WhatsApp Business account to any AI agent and simplify how you engage with your customers through natural conversation and automated messaging workflows.
The Vercel AI SDK gives every Wati tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 13 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
- Direct Messaging — Send instant WhatsApp session messages to active contacts for real-time support and engagement.
- Template Automation — Send pre-approved WhatsApp templates to start conversations or send notifications with dynamic parameters.
- Contact Management — List and inspect your WhatsApp subscribers and contacts to keep your directory up-to-date.
- Chat History — Retrieve the complete message history for any specific contact to understand the conversation context.
- Template Catalog — List all available message templates to identify the best options for your communication strategy.
The Wati MCP Server exposes 13 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 13 Wati tools available for Vercel AI SDK
When Vercel AI SDK connects to Wati through Vinkius, your AI agent gets direct access to every tool listed below — spanning whatsapp-api, chatbot, customer-engagement, 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 a contact
Verify connectivity
Get contact details
Get template details
List broadcasts
List contacts
List messages
List tags
List message templates
Send media message
Send a session message
Send a template message
Update contact attributes
Connect Wati to Vercel AI SDK via MCP
Follow these steps to wire Wati 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 Wati MCP Server
Vercel AI SDK provides unique advantages when paired with Wati 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 Wati integration everywhere
Built-in streaming UI primitives let you display Wati 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
Wati + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Wati MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Wati in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Wati tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Wati capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Wati through natural language queries
Example Prompts for Wati in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Wati immediately.
"List all my WhatsApp templates."
"Send the 'order_ready' template to 5511999999999."
"Show me the chat history for the number 5511888888888."
Troubleshooting Wati MCP Server with Vercel AI SDK
Common issues when connecting Wati to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpWati + Vercel AI SDK FAQ
Common questions about integrating Wati 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.