Can my agent calculate reachability zones using time limits?

Yes. Use the 'calculate_reachability_polygon' tool. Provide a starting point and a time limit in seconds. The agent will retrieve the isochrone polygon defining exactly what area is reachable within that duration natively.

How do I optimize a multi-stop delivery route via chat?

Use the 'submit_vrp_optimizer' tool. Provide a JSON payload defining your vehicles and service stops. The agent will trigger the VRP solver to calculate the most efficient sequence, accounting for time windows and capacities synchronously.

Can I perform reverse geocoding to find a street name through the agent?

Absolutely. Use the 'reverse_geocode' tool. Provide the latitude and longitude. Your agent will analyze the global OSM bounds to match the coordinates exactly against the nearest physical street address flawlessy.

GraphHopper MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: GraphHopper
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 10 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add GraphHopper as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

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

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="graphhopper_agent",
    instruction=(
        "You help users interact with GraphHopper "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

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 GraphHopper MCP Server

Connect your GraphHopper account to any AI agent and take full control of your geospatial routing, geocoding, and fleet optimization through natural conversation.

Google ADK natively supports GraphHopper as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Route Orchestration — Calculate optimal routes between multiple GPS stops, identifying precise asynchronous directions and time calculations bypassing URL length limits natively
Geocoding discovery — Extract explicitly attached REST arrays targeting /geocode to translate human-readable addresses into precise LatLon coordinates for spatial analysis
Reverse Geocoding — Perform structural extraction of properties matching GPS pins exactly against named physical streets to verify localized entity bounds flawlessly
Routing Matrix Calculation — Generate N x M arrays of travel times and distances to analyze complex grid logistics and distance tables between multiple points synchronously
Isochrone Reachability — Identify precisely the boundary reachable in a specific time limit from a starting point, defining reachability polygons for site selection or delivery zones
VRP Optimization — Command explicit JSON targets firing Traveling Salesman configs for multiple vehicles, checking time windows and capacity constraints to solve complex logistics synchronously
Map Matching Auditing — Validate API logic correcting imprecise GPS jumps by snapping raw GPX tracks perfectly onto street vectors limitlessly

The GraphHopper MCP Server exposes 10 tools through the Vinkius. Connect it to Google ADK 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 GraphHopper to Google ADK via MCP

Follow these steps to integrate the GraphHopper MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 10 tools from GraphHopper via MCP

Why Use Google ADK with the GraphHopper MCP Server

Google ADK provides unique advantages when paired with GraphHopper through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with GraphHopper

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine GraphHopper tools with BigQuery, Vertex AI, and Cloud Functions

GraphHopper + Google ADK Use Cases

Practical scenarios where Google ADK combined with the GraphHopper MCP Server delivers measurable value.

Enterprise data agents: ADK agents query GraphHopper and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine GraphHopper tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query GraphHopper regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including GraphHopper

GraphHopper MCP Tools for Google ADK (10)

These 10 tools become available when you connect GraphHopper to Google ADK via MCP:

calculate_distance_isochrone

Provision a highly-available JSON Payload generating physical borders

calculate_heavy_route

Identify precise active arrays spanning native multi-stop geometries

calculate_reachability_polygon

Enumerate explicitly attached structured rules exporting active Reachability

calculate_routing_matrix

Inspect deep internal arrays mitigating specific Math tables

calculate_url_route

Retrieve explicit Cloud logging tracing explicit lightweight Directions

poll_vrp_solution

Retrieve the exact structural matching verifying Delivery alternatives

reverse_geocode

Perform structural extraction of properties driving active OSM bindings

search_geocode

Identify bounded routing spaces inside the Headless GraphHopper Engine

snap_gpx_to_road

Irreversibly vaporize explicit validations extracting GPX logic natively

submit_vrp_optimizer

Dispatch an automated validation check routing explicit jsprit solves

Example Prompts for GraphHopper in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with GraphHopper immediately.

"Calculate a car route between '40.71, -74.00' and '40.75, -73.98'"

"Show me the 10-minute reachability zone from central Berlin"

"Reverse geocode these coordinates: '48.85, 2.35'"

Troubleshooting GraphHopper MCP Server with Google ADK

Common issues when connecting GraphHopper to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

GraphHopper + Google ADK FAQ

Common questions about integrating GraphHopper MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.