How to Use the TransportAPI MCP in Pydantic AI

Q: How does TransportAPI help with complex routing in Pydantic AI?

The getjourneyplan tool delivers a fully typed itinerary. It accounts for bus, rail, tram, and walking legs while guaranteeing structured data fields like total travel duration.

Q: Can I check departures using TransportAPI with Pydantic AI?

Yes. You can call getbusdepartures or getraildepartures. The tools provide ETDs, destinations, and service disruption notices, all validated against a strict schema.

Q: Does TransportAPI handle service alerts for Pydantic AI?

Yes. The getupdates tool collects real-time disruptions across bus, rail, tram, and underground services. This structured output ensures your agent always has reliable data on service status.

Q: How do I search for stops using TransportAPI with Pydantic AI?

You use searchstops to find matching bus stops by name or location. The results provide Naptan stop IDs, served lines, and locality information that your agent can trust completely.

Type-safe UK transit data for your Pydantic AI validated workflows.

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Connect TransportAPI MCP to Pydantic AI

Create your Vinkius account to connect TransportAPI 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 TransportAPI with Pydantic AI

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Validate multimodal trip plans.

`get_journey_plan` outputs a structured itinerary covering multiple transport modes. Since the response is validated, you're guaranteed fields like 'total duration,' 'number of changes,' and specific mode details for every leg. This type-safe approach prevents runtime failures when your agent needs to process complex travel data across different systems.

Get detailed service timetables.

`get_timetable` returns all scheduled services, giving you departure times from origin through to terminus. It also handles variations by time of day and whether it's a weekday or weekend schedule. Because Pydantic validates the schema, you never have to worry about missing or corrupted frequency data when modeling service patterns.

Get real-time rail service listings.

`get_rail_services` lists all services calling at a specific UK station. You get train operating companies (TOCs), destinations, origins, and even the service type—local, express, or sleeper. This reliable data stream lets your agent build highly accurate operational awareness for stations without fear of unexpected data fields.

Setup guide

Set up TransportAPI 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": {
        "transportapi-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

result = await agent.run("List recent TransportAPI transactions")
print(result.output)

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Common questions about TransportAPI MCP in Pydantic AI

The `get_journey_plan` tool delivers a fully typed itinerary. It accounts for bus, rail, tram, and walking legs while guaranteeing structured data fields like total travel duration.

Yes. You can call `get_bus_departures` or `get_rail_departures`. The tools provide ETDs, destinations, and service disruption notices, all validated against a strict schema.

Yes. The `get_updates` tool collects real-time disruptions across bus, rail, tram, and underground services. This structured output ensures your agent always has reliable data on service status.

This MCP Server touches location coordinates (latitude/longitude), facility details, departure times, train operating companies, and disruption descriptions. Pydantic validation makes working with this metadata simple.

You use `search_stops` to find matching bus stops by name or location. The results provide Naptan stop IDs, served lines, and locality information that your agent can trust completely.

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