How to Use the Cobot MCP in Vercel AI SDK

Stream Cobot space bookings and member data directly into your Vercel AI SDK frontends for live, interactive dashboards.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Cobot MCP to Vercel AI SDK

Create your Vinkius account to connect Cobot 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.

GDPR Free for Subscribers

Setup Cobot with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Real-time resource management in Vercel AI SDK

Pipe `list_space_resources` and `list_space_bookings` results straight into your React components. Your users watch desk availability update the second the data hits the wire. Stop waiting for spinners. The Vercel AI SDK handles the stream so your UI reflects the current state of your coworking space instantly.

Automate membership tracking with Cobot

Feed `list_cobot_memberships` and `get_membership_details` into your backend logic to trigger UI updates. You get precise control over how member statuses appear in your app. Keep your dashboard synced with the source of truth. Your code handles the data flow while the interface stays responsive.

Direct invoice handling for Vercel AI SDK

Invoke `list_cobot_invoices` to pull payment data into your application state. You can display billing cycles without refreshing the page. Building custom billing portals is easier when your tools stream directly into your logic. Your front-end stays lean while the MCP server does the heavy lifting.

Setup guide

Set up Cobot 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 Cobot 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 Cobot 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 Cobot. 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.

Connect Cobot now

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 Cobot MCP in Vercel AI SDK

Install the MCP packages and define your endpoint in the client configuration. You pass the server tools into your streamText function to start executing commands.

Yes, you catch errors directly in your TypeScript code. If a booking fails, the SDK provides the response so you can prompt the user to try again.

The server supports HTTP transport, making it compatible with edge environments. You keep latency low by executing tools close to your users.

Your API keys never touch the client-side code. The server handles authentication, ensuring your member records stay behind your secure backend.

The server only exposes the specific fields required for your tools. We strip non-essential member contact details before the data reaches your agents.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript