How do I find my TransportAPI credentials?

Log in to your [**TransportAPI dashboard**](https://developer.transportapi.com/), and you will find your App ID and App Key under your 'Account' or 'Apps' section. Copy and paste them below.

Does this cover transport outside of the UK?

TransportAPI provides high-density data primarily for the UK transport network, including national rail, London Underground, and regional bus services.

Can the agent plan a journey from coordinates?

Yes. Use the `get_journey_plan` tool providing coordinates in 'lat,lon' format for the 'from' or 'to' parameters. Your agent will calculate the best public transport route instantly.

TransportAPI Alternative MCP Server for Pydantic AI 12 tools — connect in under 2 minutes

Name: TransportAPI Alternative
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 12 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect TransportAPI Alternative through the Vinkius and every tool is automatically validated against Pydantic schemas — catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to TransportAPI Alternative "
            "(12 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in TransportAPI Alternative?"
    )
    print(result.data)

asyncio.run(main())

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* 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 TransportAPI Alternative MCP Server

Empower your AI agent to orchestrate your entire public transport research workflow with TransportAPI, Britain's leading platform for transport data. By connecting TransportAPI to your agent, you transform complex logistics searches into a natural conversation. Your agent can instantly search for stations, audit live bus and train departures, and retrieve detailed journey plans without you ever touching a travel app. Whether you are conducting urban mobility research or monitoring daily commute patterns, your agent acts as a real-time transit consultant, ensuring your data is always comprehensive and up-to-date.

Pydantic AI validates every TransportAPI Alternative tool response against typed schemas, catching data inconsistencies at build time. Connect 12 tools through the Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code — full type safety, structured output guarantees, and dependency injection for testable agents.

What you can do

Departure Auditing — Query real-time bus and train departures for any stop or station to maintain a clear view of local transit flow.
Journey Oversight — Plan public transport routes between any locations and retrieve detailed itinerary metadata, including aimed vs expected times.
Station Discovery — Search for train stations and bus stops by keyword or retrieve nearby transport hubs based on geographic coordinates.
Service Intelligence — Query specific bus and train service details, including operator information and full route timetables.
Logistics Monitoring — List available routes and service statuses to maintain strict control over urban transport data.

The TransportAPI Alternative MCP Server exposes 12 tools through the Vinkius. Connect it to Pydantic 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 TransportAPI Alternative to Pydantic AI via MCP

Follow these steps to integrate the TransportAPI Alternative MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 12 tools from TransportAPI Alternative with type-safe schemas

Why Use Pydantic AI with the TransportAPI Alternative MCP Server

Pydantic AI provides unique advantages when paired with TransportAPI Alternative through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture — switch between OpenAI, Anthropic, or Gemini without changing your TransportAPI Alternative integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your TransportAPI Alternative connection logic from agent behavior for testable, maintainable code

TransportAPI Alternative + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the TransportAPI Alternative MCP Server delivers measurable value.

Type-safe data pipelines: query TransportAPI Alternative with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple TransportAPI Alternative tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query TransportAPI Alternative and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock TransportAPI Alternative responses and write comprehensive agent tests

TransportAPI Alternative MCP Tools for Pydantic AI (12)

These 12 tools become available when you connect TransportAPI Alternative to Pydantic AI via MCP:

get_bus_route_timetable

Get the scheduled timetable for a bus route

get_bus_service

Get details of a bus service route

get_live_bus_departures

Returns live departure times, destinations, and operators. Get real-time bus departures for a UK bus stop

get_live_train_departures

g., KGX for King's Cross, PAD for Paddington). Get real-time train departures for a UK station

get_nearby_bus_stops

Find bus stops near a GPS location

get_nearby_transport_places

Find transport locations near GPS coordinates

get_train_fares

Great for price comparison. Get ticket prices between two stations

get_train_service_details

Get the full calling pattern of a train service

get_train_station_timetable

Get the scheduled timetable for a train station

get_transport_by_postcode

Useful when user only has a postcode, not coordinates. Find transport options by UK postcode

plan_public_transport_journey

Returns step-by-step route with times and changes. Plan a public transport journey between two locations

search_transport_places

Search for train stations and bus stops by name

Example Prompts for TransportAPI Alternative in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with TransportAPI Alternative immediately.

"Show live train departures for station 'EUS' (Euston) using TransportAPI."

"Plan a journey from 'London Waterloo' to 'Brighton'."

"Search for bus stops near coordinate 51.5074, -0.1278."

Troubleshooting TransportAPI Alternative MCP Server with Pydantic AI

Common issues when connecting TransportAPI Alternative to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

TransportAPI Alternative + Pydantic AI FAQ

Common questions about integrating TransportAPI Alternative MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer — your TransportAPI Alternative MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.