How long does route optimization take to complete?

It depends on the number of orders and drivers. Small batches (under 100 stops) typically finish in under 30 seconds. Large-scale plans can take several minutes. The agent checks the planning status endpoint so you can monitor progress, and you can abort and capture the best partial solution at any time.

Can I verify if a delivery was actually completed with proof?

Yes. The get_order_pod tool pulls completion details including driver-captured signatures, photos, and timestamped notes. This data comes directly from the OptimoRoute driver app and provides auditable proof of delivery for dispute resolution and compliance.

Can I update a driver's working hours and vehicle capacity on the fly?

Yes. The update_driver_shifts tool lets you change working hours, speed profiles, and load capacities for any driver. Changes take effect on the next optimization run. Useful for adjusting schedules when a driver calls in sick or a vehicle needs to be swapped.

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

Name: OptimoRoute
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 OptimoRoute 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

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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="optimoroute_agent",
    instruction=(
        "You help users interact with OptimoRoute "
        "using 10 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

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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 OptimoRoute MCP Server

Connect your OptimoRoute account to any AI agent and orchestrate your entire route planning workflow from a single conversation.

Google ADK natively supports OptimoRoute 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

Order Management — Create delivery orders with addresses, time windows, and capacity constraints. Delete stale orders before they get routed
Route Optimization — Queue route planning jobs with specific dates and driver sets, then check solver status or abort long-running computations
Route Downloads — Download finalized manifest routes showing every optimized stop assigned to each driver
Scheduling Info — Look up exactly when and where a specific order was scheduled within the optimized plan
Proof of Delivery — Retrieve completion details including driver signatures, photos, and notes for verification
Live GPS Tracking — Get real-time GPS coordinates for any driver in your fleet
Driver Configuration — Update working hours, speed profiles, and load capacities for your drivers

The OptimoRoute 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 OptimoRoute to Google ADK via MCP

Follow these steps to integrate the OptimoRoute 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 OptimoRoute via MCP

Why Use Google ADK with the OptimoRoute MCP Server

Google ADK provides unique advantages when paired with OptimoRoute 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 OptimoRoute

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 OptimoRoute tools with BigQuery, Vertex AI, and Cloud Functions

OptimoRoute + Google ADK Use Cases

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

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

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

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

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

OptimoRoute MCP Tools for Google ADK (10)

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

abort_route_planning

Inspect deep internal arrays mitigating specific Time constraints

check_planning_status

Identify precise active arrays spanning native Asynchronous bounds

create_route_order

Identify bounded routing spaces inside the Headless OptimoRoute platform

delete_stale_order

Perform structural extraction of properties driving active Deletions

download_manifest_routes

Enumerate explicitly attached structured rules exporting active Drivers

get_live_driver_gps

Irreversibly vaporize explicit validations extracting Telemetry natively

get_order_pod

Retrieve the exact structural matching verifying Delivery success Proof

get_order_scheduling

Dispatch an automated validation check routing explicit ETA models

queue_route_optimization

Retrieve explicit Cloud logging tracing explicit solver logic

update_driver_shifts

Provision a highly-available JSON Payload generating Truck constraints

Example Prompts for OptimoRoute in Google ADK

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

"Create a delivery order for 200 Main St, Boston with a 2-hour time window from 9 AM to 11 AM."

"Start route optimization for tomorrow with drivers D1, D2, and D3."

"Where is driver D2 right now?"

Troubleshooting OptimoRoute MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

OptimoRoute + Google ADK FAQ

Common questions about integrating OptimoRoute 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.