How to Use the TransportAPI MCP in OpenAI Agents SDK

Q: How do I plan a journey using TransportAPI Alternative and OpenAI Agents SDK?

Your agent calls the planpublictransportjourney tool. You pass the start and end points, and the MCP Server returns a detailed itinerary with step-by-step instructions. It handles all necessary transfers automatically.

Q: Can TransportAPI Alternative handle fares with OpenAI Agents SDK?

Yep. Use gettrainfares to compare ticket prices between any two specified stations. This tool is designed specifically for price comparison within the UK network.

Q: How does TransportAPI Alternative handle bus routes with OpenAI Agents SDK?

You've got tools for that. Call getbusservice to get route details or use getbusroutetimetable for the scheduled timetable of a specific line.

Built for Production: Execute UK Travel Plans with OpenAI Agents SDK

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MCP Servers — Included with Plan

Connect TransportAPI MCP to OpenAI Agents SDK

Create your Vinkius account to connect TransportAPI to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Setup TransportAPI with OpenAI Agents SDK

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Real-Time Departures

Need to know when the next bus or train runs? Use `get_live_bus_departures` and `get_live_train_departures` to fetch current departure details, including destinations and operators. You can also use `get_nearby_bus_stops` if you only have a GPS coordinate. This lets your agent locate the nearest stop before it even plans the route.

Journey Planning

The core function is `plan_public_transport_journey`. Pass two locations, and the MCP Server returns a full, step-by-step itinerary showing times and required changes. It's not just about getting from A to B. You can also use `get_transport_by_postcode` when the user only provides a UK postcode instead of precise coordinates.

Fares and Timetables

For pricing, call `get_train_fares` to compare ticket costs between two stations. This is perfect for building comparison tools. Want the full schedule? Use `get_train_station_timetable` or check out bus schedules with `get_bus_route_timetable`. The MCP Server handles all these scheduling details.

Setup guide

Set up TransportAPI 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 TransportAPI tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate TransportAPI 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="TransportAPI Agent",
            instructions="You have access to TransportAPI tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by TransportAPI. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about TransportAPI MCP in OpenAI Agents SDK

Your agent calls the `plan_public_transport_journey` tool. You pass the start and end points, and the MCP Server returns a detailed itinerary with step-by-step instructions. It handles all necessary transfers automatically.

Yep. Use `get_train_fares` to compare ticket prices between any two specified stations. This tool is designed specifically for price comparison within the UK network.

This MCP Server primarily touches location data, including GPS coordinates and UK postcodes. It handles general public transport planning data to build your agent's logic.

Absolutely. If a user only provides a name like 'Paddington', you can use `search_transport_places` to locate the correct station ID before planning anything else.

You've got tools for that. Call `get_bus_service` to get route details or use `get_bus_route_timetable` for the scheduled timetable of a specific line.

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