Arrivy MCP Server for Google ADK 9 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Arrivy as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="arrivy_agent",
instruction=(
"You help users interact with Arrivy "
"using 9 available tools."
),
tools=[mcp_tools],
)
* 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 Arrivy MCP Server
The Arrivy MCP Server empowers your AI agent to coordinate field operations and last-mile delivery directly from your workspace. Seamlessly manage your mobile workforce, track job progress, and engage with customers using natural language.
Google ADK natively supports Arrivy as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 9 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
Key Features
- Task Orchestration — List, create, and update service tasks or delivery jobs with real-time status tracking.
- Crew Management — Monitor field personnel and resource assignments to ensure efficient job allocation.
- Customer Engagement — Manage customer records and sync service history for better communication.
- Location Tracking — Access real-time location data and ETAs for your field technicians and delivery drivers.
- Digital Workflow — Access data captured in the field, including forms, photos, and status updates.
- Seamless Integration — Connect your Arrivy operations with your AI-assisted project management and support workflows.
Benefits for Teams
- Operations Managers — Quickly audit active jobs and crew statuses without leaving your AI dashboard.
- Dispatchers — Use AI to quickly create and assign new tasks based on customer requests.
- Customer Success — Retrieve job history and ETAs instantly to provide accurate updates to clients.
The Arrivy MCP Server exposes 9 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 Arrivy to Google ADK via MCP
Follow these steps to integrate the Arrivy 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 9 tools from Arrivy via MCP
Why Use Google ADK with the Arrivy MCP Server
Google ADK provides unique advantages when paired with Arrivy 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 Arrivy
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 Arrivy tools with BigQuery, Vertex AI, and Cloud Functions
Arrivy + Google ADK Use Cases
Practical scenarios where Google ADK combined with the Arrivy MCP Server delivers measurable value.
Enterprise data agents: ADK agents query Arrivy and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Arrivy tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Arrivy regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Arrivy
Arrivy MCP Tools for Google ADK (9)
These 9 tools become available when you connect Arrivy to Google ADK via MCP:
create_customer
Create a new customer record
create_task
Create a new service task in Arrivy
get_account_check
Verify Arrivy account connection
get_task
Get details for a specific task
list_crews
List all field crews and personnel
list_customers
List all customers in the system
list_locations
List all tracked locations
list_tasks
List all service tasks in Arrivy
update_task
Update an existing service task
Example Prompts for Arrivy in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with Arrivy immediately.
"List all scheduled tasks for today in Arrivy."
"Create a new task 'Emergency Leak Repair' at '123 Maple St'."
"Show me the status of task ID 'T12345'."
Troubleshooting Arrivy MCP Server with Google ADK
Common issues when connecting Arrivy to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkArrivy + Google ADK FAQ
Common questions about integrating Arrivy MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
Connect Arrivy with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Arrivy to Google ADK
Get your token, paste the configuration, and start using 9 tools in under 2 minutes. No API key management needed.
