How to Use the TransportAPI Alternative MCP in LangChain

Q: How do I find a route without coordinates using TransportAPI Alternative and LangChain?

Just use the gettransportbypostcode tool. You pass in a UK postcode, and it handles finding local transport options. This works before you even attempt to plan a full journey with the MCP Server.

Q: Can LangChain handle complex transfers using TransportAPI Alternative?

Yeah, absolutely. You can chain planpublictransportjourney's output into subsequent logic. The agent handles the sequence of calling tools to figure out the best path.

Q: What if I need train fares and service details with LangChain?

The MCP Server has gettrainfares for price comparison, and gettrainservicedetails provides the full calling pattern. You run these tools first to gather all necessary data.

Q: Is there a way to find bus stops near a point using TransportAPI Alternative and LangChain?

Yes, call getnearbybusstops. It takes GPS coordinates and returns a list of nearby stops. This is a clean first step before running any journey planning.

Build multi-step travel logic with LangChain using the TransportAPI Alternative MCP Server.

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Connect TransportAPI Alternative MCP to LangChain

Create your Vinkius account to connect TransportAPI Alternative to LangChain 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 Alternative with LangChain

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Multi-Step Journey Planning

You feed a starting postcode and an endpoint into `plan_public_transport_journey`. The tool returns a step-by-step itinerary, including timings and transfers. Because this is an MCP Server, you can chain the output. For example, take the destination from the plan, run it through `search_transport_places` to verify the station name, then use that result in another agent's call.

Live Transit Data Retrieval

When you need real-time information, start by calling `get_live_bus_departures`. This returns live departure times, destinations, and operators for a specific UK bus stop. Alternatively, if the user is tracking trains, use `get_live_train_departures`. Both tools provide immediate, actionable data that an agent can pass to a decision-making step.

MCP Server: Location Lookup

Don't assume coordinates. Use `get_transport_by_postcode` when the user only provides a UK postcode. This finds relevant transport options for that area. If you have GPS data, check proximity using `get_nearby_bus_stops`. The agent can then verify if the bus stops found are near major stations by calling `get_nearby_transport_places`.

Setup guide

Set up TransportAPI Alternative MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes TransportAPI Alternative tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "transportapi-alternative-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent TransportAPI Alternative transactions"
    })
    print(result["messages"][-1].content)

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Common questions about TransportAPI Alternative MCP in LangChain

Just use the `get_transport_by_postcode` tool. You pass in a UK postcode, and it handles finding local transport options. This works before you even attempt to plan a full journey with the MCP Server.

Yeah, absolutely. You can chain `plan_public_transport_journey`'s output into subsequent logic. The agent handles the sequence of calling tools to figure out the best path.

The MCP Server has `get_train_fares` for price comparison, and `get_train_service_details` provides the full calling pattern. You run these tools first to gather all necessary data.

Yes, call `get_nearby_bus_stops`. It takes GPS coordinates and returns a list of nearby stops. This is a clean first step before running any journey planning.

It primarily handles public transit schedule data, including bus routes, train timetables (`get_bus_route_timetable`), and live departure times. No personal identifying information is stored or passed.

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