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Robin MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

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

Vinkius supports streamable HTTP and SSE.

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

main();
Robin
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* 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 Robin MCP Server

Connect your conversational assistant directly to Robin, the leading workplace management platform. This integration transforms your AI into a virtual office manager, empowering you to explore office locations, check room availability, and book desks directly from a seamless chat interface.

The Vercel AI SDK gives every Robin 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

  • Manage Office Logistics — Ask your assistant to map out your global organizational offices (list_locations) and review deep details like capacity or address for a specific hub (get_location).
  • Book Meeting Rooms — See all bookable spaces (list_spaces) to find the perfect room for your meeting. Command the AI to check schedules (list_space_events, get_free_busy) and immediately book a room (book_space) for your team.
  • Reserve Hot Desks — Explore the floor plan to find available seats (list_desks) and immediately secure a hot desk for a specific date (reserve_desk). If plans change, simply tell the AI to cancel your booking (cancel_desk_reservation).

The Robin 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 Robin to Vercel AI SDK via MCP

Follow these steps to integrate the Robin MCP Server with Vercel AI SDK.

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 Robin and passes them to the LLM

Why Use Vercel AI SDK with the Robin MCP Server

Vercel AI SDK provides unique advantages when paired with Robin 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 Robin integration everywhere

03

Built-in streaming UI primitives let you display Robin 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

Robin + Vercel AI SDK Use Cases

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

01

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

02

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

03

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

04

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

Robin MCP Tools for Vercel AI SDK (10)

These 10 tools become available when you connect Robin to Vercel AI SDK via MCP:

01

book_space

Specify space ID, title, and start/end times. Books a meeting room by creating an event

02

cancel_desk_reservation

You must provide the unique reservation ID. Cancels an existing desk reservation

03

get_free_busy

Provide a JSON array of space IDs. Checks availability for multiple spaces within a time range

04

get_location

Retrieves details for a specific office location

05

get_space

Retrieves detailed information for a specific meeting space

06

list_desks

Lists all hot desks and assigned seats at a location

07

list_locations

Lists all office locations in Robin

08

list_space_events

Lists all events booked in a specific meeting space

09

list_spaces

Lists all bookable meeting rooms at a location

10

reserve_desk

Reserves a hot desk for a specific date

Example Prompts for Robin in Vercel AI SDK

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

01

"Show me the office locations available in our organization."

02

"Check if room 555 and room 121 are free tomorrow from 10 AM to 11 AM."

03

"Book space ID 73 tomorrow at 3 PM. Title is Project Vinkius Sync."

Troubleshooting Robin MCP Server with Vercel AI SDK

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

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Robin + Vercel AI SDK FAQ

Common questions about integrating Robin 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.

Connect Robin to Vercel AI SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.