3,400+ MCP servers ready to use
Vinkius

AI Receptionist MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 10 tools to Create Aireceptionist Booking, Create Aireceptionist Conversation, Get Aireceptionist Analytics, and more

Built by Vinkius GDPR 10 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect AI Receptionist through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.

Use with Your AI Agent

Ask AI about this App Connector for Vercel AI SDK

Open in ChatGPT Open in Claude Open in Perplexity

The AI Receptionist app connector for Vercel AI SDK is a standout in the Productivity category — giving your AI agent 10 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

typescript
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 AI Receptionist, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
AI Receptionist
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 AI Receptionist MCP Server

Connect your AI Receptionist account to any AI agent and take full control of your automated customer engagement and front-desk workflows through natural conversation.

The Vercel AI SDK gives every AI Receptionist tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 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

  • Conversation Orchestration — List and monitor inbound and outbound AI voice or chat interactions programmatically, retrieving complete high-fidelity transcripts and operational metadata in real-time
  • Booking & Appointment Intelligence — Access your complete directory of active appointments and programmatically create or manage bookings to maintain a perfectly coordinated schedule
  • Knowledge Base Discovery — Access and monitor your organizational business rules and FAQs (Knowledge Base) to coordinate how your AI receptionist interacts with clients
  • Lead & Performance Intelligence — Retrieve high-fidelity analytics on lead capture and interaction performance directly through your agent for instant operational reporting
  • Infrastructure Monitoring — Verify API connectivity, access account metadata, and monitor active webhooks to maintain a perfectly coordinated communication ecosystem

The AI Receptionist 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.

All 10 AI Receptionist tools available for Vercel AI SDK

When Vercel AI SDK connects to AI Receptionist through Vinkius, your AI agent gets direct access to every tool listed below — spanning aireceptionist, ai-voice-api, call-transcripts, 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.

create_aireceptionist_booking

Create a booking

create_aireceptionist_conversation

Create a new conversation

get_aireceptionist_analytics

Get performance analytics

get_aireceptionist_booking

Get booking details

get_aireceptionist_conversation

Get conversation details

get_aireceptionist_me

Get current user profile

list_aireceptionist_bookings

List active bookings

list_aireceptionist_conversations

List AI conversations

list_aireceptionist_knowledge

List knowledge base articles

list_aireceptionist_webhooks

List active webhooks

Connect AI Receptionist to Vercel AI SDK via MCP

Follow these steps to wire AI Receptionist into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the script

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

The SDK discovers 10 tools from AI Receptionist and passes them to the LLM

Why Use Vercel AI SDK with the AI Receptionist MCP Server

Vercel AI SDK provides unique advantages when paired with AI Receptionist through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same AI Receptionist integration everywhere

03

Built-in streaming UI primitives let you display AI Receptionist tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

AI Receptionist + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the AI Receptionist MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query AI Receptionist in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate AI Receptionist tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed AI Receptionist capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with AI Receptionist through natural language queries

Example Prompts for AI Receptionist in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with AI Receptionist immediately.

01

"List the last 5 conversations handled by the AI Receptionist."

02

"Show my active bookings for the next 7 days."

03

"Get the transcript for conversation ID '9283'."

Troubleshooting AI Receptionist MCP Server with Vercel AI SDK

Common issues when connecting AI Receptionist to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

AI Receptionist + Vercel AI SDK FAQ

Common questions about integrating AI Receptionist MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.