Vibrato MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 5 tools to Create Call, Create Call From Template, Get Call Status, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Vibrato 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 Vibrato app connector for Vercel AI SDK is a standout in the Superpower 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 Vibrato, 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 Vibrato MCP Server
Connect your Vibrato account to any AI agent to unlock human-like phone interaction capabilities. Vibrato provides a powerful API for programmatically initiating AI-powered calls to handle complex real-world tasks like negotiating cable bills, booking doctor appointments, or inquiring about business hours.
The Vercel AI SDK gives every Vibrato 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
- AI-Powered Calling — Start new phone calls by providing a natural language prompt and the target phone number
- Template-Based Tasks — Use predefined task templates (e.g., 'Negotiate Comcast Bill') for high-success rate automations
- Real-time Status Tracking — Monitor the status of your calls and retrieve live transcripts and final summaries
- Call Library Management — List all your previous AI calls and access their detailed recordings and metadata
- Global Locale Support — Initiate calls in different languages and locales to reach businesses worldwide
The Vibrato 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 Vibrato tools available for Vercel AI SDK
When Vercel AI SDK connects to Vibrato through Vinkius, your AI agent gets direct access to every tool listed below — spanning ai-calling, automated-negotiation, appointment-booking, 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.
Pass prompt, phone number, and locale in the JSON body. Create an AI-powered phone call
g., Negotiate Bill). Initiate a call using a template
Check status of a call
List all AI calls
List available call templates
Connect Vibrato to Vercel AI SDK via MCP
Follow these steps to wire Vibrato 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 Vibrato MCP Server
Vercel AI SDK provides unique advantages when paired with Vibrato 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 Vibrato integration everywhere
Built-in streaming UI primitives let you display Vibrato 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
Vibrato + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Vibrato MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Vibrato in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Vibrato tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Vibrato capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Vibrato through natural language queries
Example Prompts for Vibrato in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Vibrato immediately.
"Call +123456789 to negotiate my internet bill using the 'Telecom Negotiation' template."
"Book a dentist appointment at 'City Dental' (+198765432) for next Tuesday morning."
"Show the transcript for my last call."
Troubleshooting Vibrato MCP Server with Vercel AI SDK
Common issues when connecting Vibrato to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpVibrato + Vercel AI SDK FAQ
Common questions about integrating Vibrato 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.