How to Use the GraphHopper MCP in Google ADK

Q: Can the agent snap raw mobile GPS tracking data back to real roads?

Yes. The agent processes mobile telemetry files by calling snapgpxtoroad, outputting clean geometries that represent the actual driven path.

Connect your Google ADK enterprise agents to physical routing engines and solve vehicle logistics using GraphHopper.

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Connect GraphHopper MCP to Google ADK

Create your Vinkius account to connect GraphHopper to Google ADK 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 GraphHopper with Google ADK

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Enterprise Routing Matrix for Google ADK

Large-scale fleet operations require processing thousands of distance calculations. Your Gemini-powered agent pulls warehouse coordinates from BigQuery and feeds them directly into `calculate_routing_matrix` to build cost tables. Because the framework handles massive token contexts, the agent can process huge arrays of destination points at once. This avoids the overhead of making hundreds of individual API calls.

Solving Fleet Delivery Constraints via MCP Server

Dispatcher agents running on Vertex AI can automate entire distribution networks. The agent sends delivery jobs to `submit_vrp_optimizer` and checks execution status with `poll_vrp_solution`. The resulting optimized route coordinates can be immediately written back to your enterprise databases. You get optimized fleet logistics without leaving your Google Cloud infrastructure.

Spatial Coverage Mapping and Geocoding

To map out service regions, the MCP Server provides `calculate_reachability_polygon` to map out travel times. This provides a precise spatial boundary for service zones. When raw addresses enter your system, the agent uses `search_geocode` to convert them to exact latitude and longitude coordinates. This ensures your mapping pipelines remain clean and accurate.

Setup guide

Set up GraphHopper MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with GraphHopper tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="GraphHopper_agent",
    model="gemini-2.0-flash",
    instruction="You have access to GraphHopper tools via MCP.",
    tools=mcp_tools,
)

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Common questions about GraphHopper MCP in Google ADK

Use the McpToolset class with your HTTP endpoint URL and pass it to your LlmAgent. Gemini immediately registers all ten spatial tools.

Yes. Gemini's long-context window allows your Google ADK agent to analyze massive payloads returned by `calculate_routing_matrix` without running out of memory.

You can pass a specific list of tool names to your McpToolset parameters to limit the agent's access to endpoints like `calculate_heavy_route`.

Yes. The agent processes mobile telemetry files by calling `snap_gpx_to_road`, outputting clean geometries that represent the actual driven path.

All location coordinates and address data processed by the geocoding tools are handled in memory. This MCP setup operates a zero-trust sandbox that destroys the runtime state immediately after the tool execution completes.

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