Vonage MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Vonage through the 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 Vonage, 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 Vonage MCP Server
Connect your Vonage account to any AI agent and power your global communications through natural conversation.
The Vercel AI SDK gives every Vonage tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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
- Multi-Channel Messaging — Send outbound messages via SMS, WhatsApp Business, and Viber with ease
- 2FA & Verification — Start and check identity verification requests (OTP) to secure your user accounts
- Number Management — List all virtual phone numbers rented by your account and update their inbound webhooks
- Account Insights — Check your real-time account credit balance and monitor spending directly from your agent
- Global Pricing — Retrieve outbound SMS pricing for any country to estimate communication costs accurately
- Virtual Numbers — View caller ID capabilities (SMS, Voice) for all your rented virtual numbers
The Vonage MCP Server exposes 10 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 Vonage to Vercel AI SDK via MCP
Follow these steps to integrate the Vonage 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 10 tools from Vonage and passes them to the LLM
Why Use Vercel AI SDK with the Vonage MCP Server
Vercel AI SDK provides unique advantages when paired with Vonage 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 Vonage integration everywhere
Built-in streaming UI primitives let you display Vonage 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
Vonage + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Vonage MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Vonage in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Vonage tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Vonage capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Vonage through natural language queries
Vonage MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Vonage to Vercel AI SDK via MCP:
cancel_verification_request
Aborts an active verification request
check_verification_code
Checks the OTP code submitted by a user for an active verification request
get_account_balance
Retrieves the current Vonage account credit balance
get_country_pricing
Provide the ISO 3166-1 alpha-2 country code. Retrieves outbound SMS pricing for a specific country
list_rented_numbers
Lists all virtual phone numbers rented by the account
send_sms
Provide a sender name (alpha or number) and a target phone number in E.164 format. Sends an outbound SMS message via Vonage
send_viber_message
Provide your specific Viber Publisher ID. Sends a Viber service message via Vonage
send_whatsapp_message
Requires a verified WhatsApp Business Number as the sender. Sends a WhatsApp message via the Vonage Messages API
start_verification
Provide the target number and your brand name. Starts a 2FA identity verification by sending an OTP code
update_number_webhook
Requires the number in E.164 format. Updates the inbound SMS callback URL for a virtual number
Example Prompts for Vonage in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Vonage immediately.
"Send an SMS to +123456789 saying 'Your order is ready for pickup!'."
"Start a verification for number +123456789 with brand 'MyCoolApp'."
"What is my current account balance and the SMS price for the UK?"
Troubleshooting Vonage MCP Server with Vercel AI SDK
Common issues when connecting Vonage to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpVonage + Vercel AI SDK FAQ
Common questions about integrating Vonage 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 Vonage 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 Vonage to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.