2Chat MCP Server for Vercel AI SDK 5 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect 2Chat 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 2Chat, 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 2Chat MCP Server
Unlock the full potential of WhatsApp automation with 2Chat, the programmable gateway now integrated with your AI agent. By connecting 2Chat via the Model Context Protocol, you transcend the limitations of traditional messaging apps. Your agent can now orchestrate complex group workflows, verify phone numbers before sending, and manage multi-device communications through simple natural language. Whether you're coordinating team alerts or engaging with a community, 2Chat gives your AI the 'voice' it needs on the world's most popular messaging platform.
The Vercel AI SDK gives every 2Chat 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
- Programmable Messaging — Send text, images, PDF, and voice messages to any WhatsApp number without template restrictions.
- Group Management — Create groups, add participants, and send group-wide announcements directly from your chat interface.
- Number Verification — Check if a phone number is registered on WhatsApp before sending to improve delivery success.
- Webhooks & Real-time — Monitor incoming messages and delivery status (sent, delivered, read) seamlessly.
- Multi-Device Support — Link multiple WhatsApp numbers to a single API workspace for unified communications.
The 2Chat 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.
How to Connect 2Chat to Vercel AI SDK via MCP
Follow these steps to integrate the 2Chat 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 5 tools from 2Chat and passes them to the LLM
Why Use Vercel AI SDK with the 2Chat MCP Server
Vercel AI SDK provides unique advantages when paired with 2Chat 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 2Chat integration everywhere
Built-in streaming UI primitives let you display 2Chat 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
2Chat + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the 2Chat MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query 2Chat in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate 2Chat tools and return structured JSON responses to any frontend
Chatbots with tool use: embed 2Chat capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with 2Chat through natural language queries
2Chat MCP Tools for Vercel AI SDK (5)
These 5 tools become available when you connect 2Chat to Vercel AI SDK via MCP:
check_number
Helps prevent failed delivery errors. Verify if a phone number is registered on WhatsApp
create_group
Create a new WhatsApp group with specified participants
list_groups
List all WhatsApp groups that a connected number belongs to
list_numbers
Use this to identify which "from_number" to use in subsequent sending actions. List all WhatsApp phone numbers connected to your 2Chat account
send_message
Can send text or public URL media to direct numbers or a specific group UUID. Send a WhatsApp text or media message using a connected number
Example Prompts for 2Chat in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with 2Chat immediately.
"Check if +123456789 is registered on WhatsApp and send a message saying hello."
"List all my WhatsApp groups."
"Create a new WhatsApp group called 'Project Gamma' and add participant +198765432."
Troubleshooting 2Chat MCP Server with Vercel AI SDK
Common issues when connecting 2Chat to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcp2Chat + Vercel AI SDK FAQ
Common questions about integrating 2Chat 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 2Chat 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 2Chat to Vercel AI SDK
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.