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Condeco (Eptura Engage) MCP Server for Mastra AI 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Condeco (Eptura Engage) through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Vinkius supports streamable HTTP and SSE.

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "condeco-eptura-engage": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Condeco (Eptura Engage) Agent",
    instructions:
      "You help users interact with Condeco (Eptura Engage) " +
      "using 10 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Condeco (Eptura Engage)?"
  );
  console.log(result.text);
}

main();
Condeco (Eptura Engage)
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High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
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.

Mastra's agent abstraction provides a clean separation between LLM logic and Condeco (Eptura Engage) tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

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 Mastra AI 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 Mastra AI via MCP

Follow these steps to integrate the Condeco (Eptura Engage) MCP Server with Mastra AI.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

Mastra discovers 10 tools from Condeco (Eptura Engage) via MCP

Why Use Mastra AI with the Condeco (Eptura Engage) MCP Server

Mastra AI provides unique advantages when paired with Condeco (Eptura Engage) through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Condeco (Eptura Engage) without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Condeco (Eptura Engage) tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Condeco (Eptura Engage) + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Condeco (Eptura Engage) MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Condeco (Eptura Engage), process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Condeco (Eptura Engage) as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Condeco (Eptura Engage) on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Condeco (Eptura Engage) tools alongside other MCP servers

Condeco (Eptura Engage) MCP Tools for Mastra AI (10)

These 10 tools become available when you connect Condeco (Eptura Engage) to Mastra AI via MCP:

01

book_desk

Claim exclusive usage targeting specific hot desking bounds

02

book_room

Claim exclusive scheduling capabilities tracing synchronization triggers upon physical spaces

03

cancel_desk_booking

Revoke claimed exclusive desk reservations natively

04

cancel_room_booking

Revoke exact chronological reservations matching O365 sync boundaries

05

check_in_to_location

Trigger physical presence capabilities executing explicit local access controls

06

get_room_availability

Determine real-time usage states extracting explicit chronological meeting blocks

07

list_bookings

Extract chronological logs resolving explicit user booking reservations

08

list_desks

Identify specific bounding capacities covering mapped hot desks

09

list_locations

Identify bounded office capacities discovering standard enterprise real estate limits

10

list_rooms

Enumerate explicitly mapped meeting spaces filtering capacity and feature sets

Example Prompts for Condeco (Eptura Engage) in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Condeco (Eptura Engage) immediately.

01

"List all meeting rooms in the 'New York HQ' location"

02

"Book room 101 for tomorrow from 2:00 PM to 3:00 PM with title 'Weekly Sync'"

03

"I've arrived at the office. Check me in to location 50"

Troubleshooting Condeco (Eptura Engage) MCP Server with Mastra AI

Common issues when connecting Condeco (Eptura Engage) to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Condeco (Eptura Engage) + Mastra AI FAQ

Common questions about integrating Condeco (Eptura Engage) MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.

Connect Condeco (Eptura Engage) to Mastra AI

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