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How to Use the Condeco (Eptura Engage) MCP in Vercel AI SDK

Book desks and meeting rooms directly inside your Vercel AI SDK interface with this MCP Server.

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Works with every AI agent you already use

…and any MCP-compatible client

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Vercel AI SDK

Connect Condeco (Eptura Engage) MCP to Vercel AI SDK

Create your Vinkius account to connect Condeco (Eptura Engage) 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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Real-time room scheduling for Vercel AI SDK

Feed your UI live booking data by calling `get_room_availability` or `list_rooms` through your edge functions. Since it streams responses, your end users see the floor plan status update the moment the agent processes the request. Stop forcing users to wait for hidden backend calls. Your React components render the meeting space data as soon as the `list_rooms` tool pushes the state through your stream.

Direct workspace management

Handle desk reservations without leaving your application flow. Use `book_desk` to secure a spot and `cancel_desk_booking` if plans change. Your code manages the entire lifecycle of a hot desk reservation. Simply map the tool output to your frontend state to confirm the booking status for your users.

Check-in logic for office visitors

Execute `check_in_to_location` to trigger local access controls based on user proximity. This makes physical office entry part of your digital application logic. Your agent monitors the `list_locations` output to suggest the right office hub. Once selected, the check-in command executes immediately via the MCP protocol.

Setup guide

Set up Condeco (Eptura Engage) 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all Condeco (Eptura Engage) tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 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 Condeco (Eptura Engage) transactions",
});

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Condeco. 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.

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

Built-in savings

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

Single dashboard

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place for every integration

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

Common questions about Condeco (Eptura Engage) MCP in Vercel AI SDK

Install the MCP client package and initialize it with your Vinkius endpoint. Pass the tools directly into your `generateText` or `streamText` calls to expose the booking functions to your agent.
Yes, just call the `list_desks` tool from your agent. It returns the available capacity and mapping for your office floor, which you can then render in your UI.
Because you are using streaming responses, the tool results appear instantly in your frontend. Your users get immediate feedback on room availability without manual page refreshes.
All reservation data flows directly from the Condeco platform to your agent's execution context. We do not store or mirror your booking logs on our infrastructure.
Your office location data and desk reservation details are encrypted in transit. This MCP server only acts as a bridge, ensuring your sensitive workplace information never sits in our logs.

Start using the Condeco (Eptura Engage) MCP today

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Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for Condeco (Eptura Engage). Just plug in your AI agents and start using Vinkius.

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