Condeco (Eptura Engage) MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Condeco (Eptura Engage) through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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 Condeco (Eptura Engage), list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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 Condeco (Eptura Engage) MCP Server
Connect your Condeco (now Eptura Engage) account to any AI agent and take full control of your enterprise workspace and desk booking workflows through natural conversation.
The Vercel AI SDK gives every Condeco (Eptura Engage) 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
- Office Location Navigation — Identify bounded office capacities and geographic groupings mapping explicitly tracked buildings and campuses
- Room Management — Enumerate available meeting spaces, filtering by capacity and AV features, and check real-time usage states
- Desk & Hot Desking — Claim exclusive usage of hot desks within specific neighborhoods and zones, including equipment filters
- Live Reservations — Mutate active scheduling endpoints to book or cancel rooms and desks with instant sync to O365/Exchange
- Check-in Automation — Trigger physical presence capabilities to confirm your arrival at a location and satisfy local access controls
- Booking History — Extract chronological logs of user reservations to audit space utilization across your organization
The Condeco (Eptura Engage) 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 Condeco (Eptura Engage) to Vercel AI SDK via MCP
Follow these steps to integrate the Condeco (Eptura Engage) MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Condeco (Eptura Engage) and passes them to the LLM
Why Use Vercel AI SDK with the Condeco (Eptura Engage) MCP Server
Vercel AI SDK provides unique advantages when paired with Condeco (Eptura Engage) through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Condeco (Eptura Engage) integration everywhere
Built-in streaming UI primitives let you display Condeco (Eptura Engage) tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Condeco (Eptura Engage) + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Condeco (Eptura Engage) MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Condeco (Eptura Engage) in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Condeco (Eptura Engage) tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Condeco (Eptura Engage) capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Condeco (Eptura Engage) through natural language queries
Condeco (Eptura Engage) MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Condeco (Eptura Engage) to Vercel AI SDK via MCP:
book_desk
Claim exclusive usage targeting specific hot desking bounds
book_room
Claim exclusive scheduling capabilities tracing synchronization triggers upon physical spaces
cancel_desk_booking
Revoke claimed exclusive desk reservations natively
cancel_room_booking
Revoke exact chronological reservations matching O365 sync boundaries
check_in_to_location
Trigger physical presence capabilities executing explicit local access controls
get_room_availability
Determine real-time usage states extracting explicit chronological meeting blocks
list_bookings
Extract chronological logs resolving explicit user booking reservations
list_desks
Identify specific bounding capacities covering mapped hot desks
list_locations
Identify bounded office capacities discovering standard enterprise real estate limits
list_rooms
Enumerate explicitly mapped meeting spaces filtering capacity and feature sets
Example Prompts for Condeco (Eptura Engage) in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Condeco (Eptura Engage) immediately.
"List all meeting rooms in the 'New York HQ' location"
"Book room 101 for tomorrow from 2:00 PM to 3:00 PM with title 'Weekly Sync'"
"I've arrived at the office. Check me in to location 50"
Troubleshooting Condeco (Eptura Engage) MCP Server with Vercel AI SDK
Common issues when connecting Condeco (Eptura Engage) to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpCondeco (Eptura Engage) + Vercel AI SDK FAQ
Common questions about integrating Condeco (Eptura Engage) MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Condeco (Eptura Engage) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Condeco (Eptura Engage) to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.