How to Use the TripGo MCP in LangChain

Q: How does TripGo help LangChain agents plan trips?

The plantrip tool handles all the heavy lifting. You give it two coordinates, and your agent gets back multiple trip options that combine walking, cycling, and public transit modes. It's a single call for complex travel planning.

Q: Can I use LangChain to check if a region supports TripGo?

Yeah, you gotta start with getregions. This tool lists all supported areas, giving you the ID and name of any city or region that TripGo covers. It's always good practice to run this first.

Q: How do I find the best transit option using TripGo with LangChain?

First, run searchstops if you know an intersection name. Then, pass those resulting IDs to getstopdetails. This gives your agent facility information before it recommends a trip.

Q: Does TripGo support multiple cities for LangChain?

Absolutely. The getregions tool supports major cities across North America, Europe, Australia, and Asia. You just need to verify the region first.

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Create your Vinkius account to connect TripGo 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 TripGo with LangChain

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Multi-Step Trip Planning via MCP Server

The `plan_trip` tool combines public transit modes—bus, train, subway, tram, ferry—with walking and cycling. You pass starting coordinates to get multiple options including duration, transfers, and step-by-step instructions. You can then feed the resulting destination coordinates into `get_nearby_stops`. This lets your agent check for specific stop facilities using `get_stop_details` before finalizing a recommendation.

Real-Time Tracking Chains with LangChain

Need to track vehicles? Start by calling `get_arrivals` using a specific stop ID. This returns scheduled vs estimated arrival times and any delays. Your agent can then take the route name from that output and use it to call `get_vehicle_positions`, providing a full, real-time view of where the vehicle is on the map.

Verifying Coverage and Searching Stops

`get_regions` must run first. This confirms if your city is covered by TripGo before you do anything else. The tool returns a list of IDs, names, and coverage areas. If the region check passes, use `search_stops`. By providing just an intersection name like 'Main St & 5th Ave', it returns matching stops with IDs and relevance scores that your agent can then pass to other tools.

Setup guide

Set up TripGo 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 TripGo 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({
    "tripgo-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 TripGo transactions"
    })
    print(result["messages"][-1].content)

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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 TripGo. 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 TripGo MCP in LangChain

The `plan_trip` tool handles all the heavy lifting. You give it two coordinates, and your agent gets back multiple trip options that combine walking, cycling, and public transit modes. It's a single call for complex travel planning.

Yeah, you gotta start with `get_regions`. This tool lists all supported areas, giving you the ID and name of any city or region that TripGo covers. It's always good practice to run this first.

This server touches coordinates, stop IDs, and route names. Specifically, when you use `get_nearby_stops`, it returns a mix of location coordinates and associated routes serving that point.

First, run `search_stops` if you know an intersection name. Then, pass those resulting IDs to `get_stop_details`. This gives your agent facility information before it recommends a trip.

Absolutely. The `get_regions` tool supports major cities across North America, Europe, Australia, and Asia. You just need to verify the region first.

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