How to Use the AI Receptionist MCP in Vercel AI SDK

Q: Can I show live booking updates using AI Receptionist and Vercel AI SDK?

Yes, you can. Use listaireceptionistbookings inside your stream UI to let users watch active bookings populate their dashboard live.

Feed real-time call logs and customer bookings directly into your React frontend using the Vercel AI SDK.

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Connect AI Receptionist MCP to Vercel AI SDK

Create your Vinkius account to connect AI Receptionist to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup AI Receptionist with Vercel AI SDK

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Render live bookings with Vercel AI SDK

The `create_aireceptionist_booking` tool lets your Next.js app create appointments and stream the confirmed slot details straight to the browser. Your UI updates line-by-line as the booking is finalized. You feed the tool output directly into your frontend components without writing custom API routes. By using `list_aireceptionist_bookings` alongside your streaming UI, you show customers their active appointments the millisecond the database registers them.

Stream caller conversations to the edge

The `get_aireceptionist_conversation` tool fetches live conversation data and pipes it directly to your edge runtime. Users watch the AI receptionist interact with callers in real-time. Because Vercel AI SDK handles streaming responses natively, you can display live chat statuses instantly. Pull down the active queue with `list_aireceptionist_conversations` to build a live dashboard that updates without polling.

Feed frontend contexts instantly

The `list_aireceptionist_knowledge` tool pulls down active rules and documents to render them in your admin panel while streaming answers. This cuts out the delay between fetching receptionist data and showing it to your team. You get raw data fast, letting you run quick edits or check active webhooks with `list_aireceptionist_webhooks` directly from your edge-rendered UI.

Setup guide

Set up AI Receptionist MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all AI Receptionist tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent AI Receptionist transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AI Receptionist. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about AI Receptionist MCP in Vercel AI SDK

Run npm install ai @ai-sdk/mcp to get the required packages. Then, configure the MCP client using createMCPClient with the Vinkius URL and pass the tools directly into your streamText function.

No, it runs cleanly on Vercel Edge Functions without slowing down. The server communicates over fast HTTP, meaning your streaming AI responses start within milliseconds of a caller action.

Yes, you can. Use list_aireceptionist_bookings inside your stream UI to let users watch active bookings populate their dashboard live.

Always call mcpClient.close() once your streaming session completes. This prevents dangling connections and keeps your MCP serverless functions light and responsive.

All booking details and caller phone numbers are processed in ephemeral V8 sandboxes. Your active customer conversations and webhook payloads never persist in the proxy layer, keeping your business data private.

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