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

Q: Can Pydantic AI manage both desk and room cancellations?

Yes, your agent uses canceldeskbooking and cancelroombooking to clean up old reservations. The framework guarantees that the cancellation parameters match the exact types required by Condeco (Eptura Engage).

Run type-safe Condeco room and desk bookings validated at runtime with Pydantic AI.

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Connect Condeco (Eptura Engage) MCP to Pydantic AI

Create your Vinkius account to connect Condeco (Eptura Engage) to Pydantic AI 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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Setup Condeco (Eptura Engage) with Pydantic AI

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Validate room availability using Pydantic AI

This Condeco (Eptura Engage) MCP Server exposes `get_room_availability` and `list_rooms` to your Pydantic AI agent with strict type validation. Your agent checks meeting blocks and room capacities, failing loudly if the API returns corrupted or unexpected structures. You use MCPToolset to register these tools directly. Because Pydantic AI validates every field at runtime, your agent never acts on hallucinated room sizes or malformed schedule data.

Type-safe desk reservations with Pydantic AI

This Condeco (Eptura Engage) MCP Server links `book_desk` and `cancel_desk_booking` to Pydantic AI for error-free hot desk management. Your agent claims specific bounding capacities, ensuring all hot desk coordinates map perfectly to your office schema. If the booking API returns an unexpected status, the runtime raises a validation error immediately. This prevents silent reservation failures and keeps your physical desk allocations entirely accurate.

Track physical check-ins using this MCP Server

This Condeco (Eptura Engage) MCP Server connects `check_in_to_location` and `list_bookings` to your Pydantic AI workflows. Your agent processes local access controls and logs physical presence, validating user records before marking them active. You connect using Streamable HTTP or SSE transports to an externally running server. Lean agent architectures are maintained while ensuring all physical check-in data conforms to your strict data models.

Setup guide

Set up Condeco (Eptura Engage) MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "condeco-eptura-engage-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to Condeco (Eptura Engage) tools.",
)

result = await agent.run("List recent Condeco (Eptura Engage) transactions")
print(result.output)

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Common questions about Condeco (Eptura Engage) MCP in Pydantic AI

You use the unified MCPToolset class pointing to your Vinkius server URL. Pass this toolset into your Agent constructor to automatically expose tools like `list_desks` and `book_room`.

Pydantic AI validates all incoming data against your defined schemas. If the `get_room_availability` tool returns unexpected structures, the agent catches the validation error instantly rather than proceeding with incorrect data.

Yes, your agent uses `cancel_desk_booking` and `cancel_room_booking` to clean up old reservations. The framework guarantees that the cancellation parameters match the exact types required by Condeco (Eptura Engage).

No, this MCP Server runs externally on Vinkius. Your Pydantic AI agent connects to the managed endpoint via Streamable HTTP, saving you the hassle of maintaining local Python server processes.

Vinkius isolates all transactional data, including room schedules and desk reservations, inside secure V8 containers. Pydantic AI only processes the validated payload, ensuring employee booking histories never leak into public model training sets.

Use it with your favorite AI tools

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