Which cities and countries does HERE Transit cover?

HERE Transit provides coverage in 70+ countries worldwide, including major cities in North America, Europe, Asia, South America, and Australia. Coverage includes bus, train, subway, tram, and ferry networks. Check coverage at developer.here.com for your specific city.

Is real-time transit data available through this MCP?

Yes! The schedule endpoint returns real-time departure and arrival estimates where available. Many transit agencies provide real-time GTFS-RT feeds that HERE integrates. Actual vs scheduled times are returned so you can see delays. Coverage varies by transit agency.

Can I plan wheelchair-accessible transit routes?

Yes! Use the get_station_details tool to check wheelchair accessibility for each station. Station details include elevator availability, step-free access, and accessibility amenities. Combine this with trip planning to ensure all transfer points are accessible for mobility-impaired travelers.

HERE Mobility MCP Server for LangChain 8 tools — connect in under 2 minutes

Name: HERE Mobility
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 8 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect HERE Mobility through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "here-mobility": {
            "transport": "streamable_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,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using HERE Mobility, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

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About HERE Mobility MCP Server

What you can do

Connect AI agents to the HERE Transit API for comprehensive public transportation planning:

LangChain's ecosystem of 500+ components combines seamlessly with HERE Mobility through native MCP adapters. Connect 8 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

Discover transit trips between any two locations with bus, train, subway, tram, and ferry
Find nearby stations by GPS coordinates or name search
Get detailed route information with step-by-step transit instructions and transfers
Check departure/arrival schedules for any station in real-time
Plan multimodal journeys combining transit, walking, cycling, and scooter
Get station details including accessibility, amenities, and serving lines
Search trips with specific transport modes for customized travel preferences

The HERE Mobility MCP Server exposes 8 tools through the Vinkius. Connect it to LangChain 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 HERE Mobility to LangChain via MCP

Follow these steps to integrate the HERE Mobility MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 8 tools from HERE Mobility via MCP

Why Use LangChain with the HERE Mobility MCP Server

LangChain provides unique advantages when paired with HERE Mobility through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents — combine HERE Mobility MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across HERE Mobility queries for multi-turn workflows

HERE Mobility + LangChain Use Cases

Practical scenarios where LangChain combined with the HERE Mobility MCP Server delivers measurable value.

RAG with live data: combine HERE Mobility tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query HERE Mobility, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain HERE Mobility tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every HERE Mobility tool call, measure latency, and optimize your agent's performance

HERE Mobility MCP Tools for LangChain (8)

These 8 tools become available when you connect HERE Mobility to LangChain via MCP:

discover_trips

Returns trip details including departure/arrival times, duration, number of transfers, and transport modes. Use origin and destination in lat,lng format. Optionally specify departure or arrival time in ISO 8601 format. Best for planning multimodal journeys. Discover public transit trips between origin and destination using HERE Transit API

get_nearby_stations

More precise than get_stations with customizable radius. Returns station IDs, names, distances, coordinates, and available lines. Use this for comprehensive station discovery in an area. Find all transit stations within a specific radius of coordinates

get_route_details

Requires the trip ID from a discover_trips result plus original origin/destination and departure time. Use this to review full route before traveling. Get detailed route information for a specific transit trip

get_schedule

Useful for checking when the next bus, train, or subway arrives. Requires station ID from get_stations result. Optionally filter by direction (e.g., "northbound", "downtown"). Get departure/arrival schedule for a specific transit station

get_station_details

Requires station ID from station search results. Use this to review station facilities before planning trips. Get detailed information about a specific transit station

get_stations

Returns station IDs, names, coordinates, and available transport lines. Use this to find stations before planning trips. Find transit stations near a GPS coordinate

get_stations_by_name

g., "Central Station", "Times Square"). Returns matching stations with IDs, names, coordinates, and available transport lines. Use this when you know the station name but not exact coordinates. Find transit stations by name

search_multimodal_trips

Modes can include: transit (bus/train/subway/tram/ferry), walk, bicycle, scooter, taxi. Returns multimodal route options with time breakdown per mode. Use this when user wants to combine walking or cycling with public transit for optimal journey. Search trips combining multiple transport modes (transit, walk, bike, scooter)

Example Prompts for HERE Mobility in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with HERE Mobility immediately.

"Find me the best public transit route from Brandenburg Gate to Berlin Central Station departing at 8am tomorrow"

"What buses and trains depart from Times Square in the next 30 minutes?"

"Plan a multimodal trip from my location combining subway and bike sharing"

Troubleshooting HERE Mobility MCP Server with LangChain

Common issues when connecting HERE Mobility to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

HERE Mobility + LangChain FAQ

Common questions about integrating HERE Mobility MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.