Can my agent check if a meeting room is available right now?

Yes. Use the 'get_room_availability' tool with the room ID and today's date. The agent will analyze real-time reservation limits and hourly slots to confirm if the space is free or booked.

How do I book a hot desk through the agent?

First, use 'list_desks' to find available capacities in your location. Then, provide the desk ID and date to the 'book_desk' tool. Your agent will trigger the claim and confirm your designated physical spot.

Does cancelling a room booking via the agent sync with my Outlook calendar?

Yes. When you use 'cancel_room_booking', the server mutates the scheduling endpoints which revert synchronization traces on your connected Exchange/O365 calendars automatically.

Condeco (Eptura Engage) MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Name: Condeco (Eptura Engage)
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Condeco (Eptura Engage) through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Condeco (Eptura Engage) Assistant",
            instructions=(
                "You help users interact with Condeco (Eptura Engage). "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Condeco (Eptura Engage)"
        )
        print(result.final_output)

asyncio.run(main())

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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 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 OpenAI Agents SDK auto-discovers all 10 tools from Condeco (Eptura Engage) through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Condeco (Eptura Engage), another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the Condeco (Eptura Engage) MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from Condeco (Eptura Engage)

Why Use OpenAI Agents SDK with the Condeco (Eptura Engage) MCP Server

OpenAI Agents SDK provides unique advantages when paired with Condeco (Eptura Engage) through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Condeco (Eptura Engage) + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Condeco (Eptura Engage) MCP Server delivers measurable value.

Automated workflows: build agents that query Condeco (Eptura Engage), process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Condeco (Eptura Engage), another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Condeco (Eptura Engage) tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Condeco (Eptura Engage) to resolve tickets, look up records, and update statuses without human intervention

Condeco (Eptura Engage) MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Condeco (Eptura Engage) to OpenAI Agents 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 OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK

Common issues when connecting Condeco (Eptura Engage) to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Condeco (Eptura Engage) + OpenAI Agents SDK FAQ

Common questions about integrating Condeco (Eptura Engage) MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.