How to Use the Lyko MCP in OpenAI Agents SDK

Q: Are arrival times from Lyko accurate in the OpenAI Agents SDK?

The getarrivals and getdepartures tools provide real-time ETAs from operators. Your agent pulls this live data directly, bypassing static schedule limitations for better timing accuracy.

Q: What happens if a Lyko API request times out in the OpenAI Agents SDK?

Your agent can implement retry logic for the plantrip or gettransitfeed tools. By setting a timeout in the HTTP client, you ensure the agent stays responsive even if a transit operator's server lags.

Connect the Lyko transit API to your OpenAI Agents SDK project for production-grade European travel routing and booking.

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Connect Lyko MCP to OpenAI Agents SDK

Create your Vinkius account to connect Lyko to OpenAI Agents 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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Setup Lyko with OpenAI Agents SDK

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Plan complex journeys with OpenAI Agents SDK

Trigger `plan_trip` to generate multi-modal itineraries across European transit networks. Your agent parses the response to handle transfers, walking segments, and operator-specific line data automatically. Safety guardrails in your SDK ensure that every route returned undergoes validation before the agent presents it to the end user. This prevents malformed transit data from reaching your production interface.

Execute live bookings via OpenAI Agents SDK

Call `book_trip` to secure tickets for trains, buses, or bike-sharing services directly through your agent workflow. The tool returns confirmed QR codes and payment details, which the agent stores for immediate relay to the passenger. Use the returned cancellation policies to manage booking exceptions without manual intervention. Your agent maintains state throughout the transaction, ensuring every reservation matches the user's initial transit request.

Monitor network status with OpenAI Agents SDK

Integrate `get_network_status` to pull real-time alerts on line closures, strikes, or weather-related delays. Your agent proactively checks these status feeds to adjust itineraries before a disruption impacts the user's travel. Accessing `get_operators` provides the context needed to filter these alerts by specific regional providers. This keeps your agent's knowledge of European transit infrastructure current and localized.

Setup guide

Set up Lyko MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Lyko tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Lyko tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Lyko tools and returns structured results. Copy the full example on the right to get started.

agent.py

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

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Lyko Agent",
            instructions="You have access to Lyko tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Lyko MCP in OpenAI Agents SDK

Use the MCPServerStreamableHttp class to point your agent at the Lyko endpoint. Once initialized, the SDK discovers all 12 tools automatically, allowing you to call them within your agent's async execution loop.

Yes. Since the Lyko MCP Server returns structured data, your agent can wrap tool calls in try-catch blocks. If a transit API call fails, the agent receives a clear error message instead of failing silently.

Lyko only handles transaction-specific data like booking references and passenger metadata. Your agent architecture keeps this data ephemeral, ensuring no personal transit history persists longer than the active session.

The `get_arrivals` and `get_departures` tools provide real-time ETAs from operators. Your agent pulls this live data directly, bypassing static schedule limitations for better timing accuracy.

Your agent can implement retry logic for the `plan_trip` or `get_transit_feed` tools. By setting a timeout in the HTTP client, you ensure the agent stays responsive even if a transit operator's server lags.

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