How do I get an EZO API Key?

Log in to your EZO.io account, navigate to **Settings > API Integration**, and you can enable the API and retrieve your unique **Secret API Key**. You also need your **Subdomain** (the prefix in your account URL).

Does the integration support multiple locations?

Yes, you can use the list_asset_locations tool to see all physical sites and sub-locations configured in your EZO account, and filter assets by location.

Can the agent perform asset checkouts?

This integration currently focuses on listing and auditing assets, inventory, and members. Performing live checkouts or scanning barcodes should be managed via the EZO.io mobile app or web interface.

EZO Asset Intelligence MCP Server for Google ADK 10 tools — connect in under 2 minutes

Name: EZO Asset Intelligence
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 EZO Asset Intelligence as an MCP tool provider through the 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="ezo_asset_intelligence_agent",
    instruction=(
        "You help users interact with EZO Asset Intelligence "
        "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 EZO Asset Intelligence MCP Server

Integrate EZO.io (formerly EZOfficeInventory), the world's most popular asset management platform, directly into your AI workflow. Manage your fixed asset database and physical locations, track consumable inventory and real-time stock levels, monitor active checkouts and reservations, and oversee your entire asset lifecycle using natural language.

Google ADK natively supports EZO Asset Intelligence as an MCP tool provider — declare the 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

Asset Oversight — List and retrieve detailed information, identifiers, and maintenance history for all your managed assets.
Inventory Intelligence — Monitor consumable inventory items, resolving available quantities and stock thresholds across your organization.
Checkout Management — Access and monitor currently checked out assets, identifying assigned members and expected return dates.
Asset Auditing — Retrieve high-level summaries of asset volume, location distribution, and organizational resource health instantly.

The EZO Asset Intelligence 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 EZO Asset Intelligence to Google ADK via MCP

Follow these steps to integrate the EZO Asset Intelligence 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 EZO Asset Intelligence via MCP

Why Use Google ADK with the EZO Asset Intelligence MCP Server

Google ADK provides unique advantages when paired with EZO Asset Intelligence 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 EZO Asset Intelligence

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 EZO Asset Intelligence tools with BigQuery, Vertex AI, and Cloud Functions

EZO Asset Intelligence + Google ADK Use Cases

Practical scenarios where Google ADK combined with the EZO Asset Intelligence MCP Server delivers measurable value.

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

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

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

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

EZO Asset Intelligence MCP Tools for Google ADK (10)

These 10 tools become available when you connect EZO Asset Intelligence to Google ADK via MCP:

get_asset_detailed_data

Get detailed settings and information for a specific asset

get_ezo_account_metadata

Retrieve metadata and limits for your EZO account

list_account_members

List all members and users registered in your organization

list_asset_locations

List all physical locations and sub-locations configured in your account

list_available_assets

Identify assets that are currently available for checkout

list_consumable_inventory

List all consumable inventory items and their stock levels

list_currently_checked_out_assets

Identify all assets that are currently checked out to members

list_managed_assets

g. available, checked out) from the EZO API. List all fixed assets managed in your EZO account

list_overdue_checkouts

Identify assets that are past their expected return date (mock logic)

quick_asset_volume_audit

Retrieve a high-level summary of assets, inventory, and members

Example Prompts for EZO Asset Intelligence in Google ADK

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

"List all assets currently checked out."

"Show me our inventory levels for 'Ethernet Cables'."

"Check for overdue asset returns."

Troubleshooting EZO Asset Intelligence MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

EZO Asset Intelligence + Google ADK FAQ

Common questions about integrating EZO Asset Intelligence 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.