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 Pydantic AI 8 tools — connect in under 2 minutes

Name: HERE Mobility
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect HERE Mobility 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 HERE Mobility "
            "(8 tools)."
        ),
    )

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

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 HERE Mobility MCP Server

What you can do

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

Pydantic AI validates every HERE Mobility tool response against typed schemas, catching data inconsistencies at build time. Connect 8 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.

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 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 HERE Mobility to Pydantic AI via MCP

Follow these steps to integrate the HERE Mobility 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 8 tools from HERE Mobility with type-safe schemas

Why Use Pydantic AI with the HERE Mobility MCP Server

Pydantic AI provides unique advantages when paired with HERE Mobility 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 HERE Mobility integration code

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

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

HERE Mobility + Pydantic AI Use Cases

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

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

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

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

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

HERE Mobility MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect HERE Mobility to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

HERE Mobility + Pydantic AI FAQ

Common questions about integrating HERE Mobility 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 HERE Mobility MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.