How to Use the EZO Asset Intelligence MCP in Google ADK

Q: Is EZO Asset Intelligence compatible with Google ADK long-context models?

Yes. You can pass large volumes of asset data from listmanagedassets into your Gemini model's context window. This allows for complex analysis of your entire equipment pool.

Q: Can I limit tool usage in Google ADK?

You can pass an optional toolnames filter when configuring your McpToolset. This allows you to restrict your agent to specific functions like checking asset availability.

Q: What happens to my sensitive asset location data in EZO Asset Intelligence and Google ADK?

The server transmits your listassetlocations data directly to your agent's runtime. We do not cache or persist your physical location logs on our servers.

Connect your Google ADK enterprise agents to live inventory data from EZO Asset Intelligence.

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Connect EZO Asset Intelligence MCP to Google ADK

Create your Vinkius account to connect EZO Asset Intelligence 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 EZO Asset Intelligence with Google ADK

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Google ADK integration with EZO MCP Server

The `McpToolset` class links your Gemini agents to EZO inventory data. You can now pull asset details via `get_asset_detailed_data` to inform your agent's reasoning. This integration works with your existing Google Cloud infrastructure. It allows your agents to act on real-world asset locations mapped through `list_asset_locations`.

Manage consumable inventory

Your agents call `list_consumable_inventory` to track stock levels of non-fixed assets. This helps your team manage supply levels before they hit zero. It provides a direct line to your EZO account metadata. You get consistent updates on what is available versus what is currently in transit.

Streamlined member tracking

Use `list_account_members` to verify user access before authorizing asset checkouts. Your agent checks this list to ensure only authorized personnel interact with your inventory. This adds a layer of accountability to your automated workflows. It ensures that every asset transfer is tied to a valid user record in your EZO system.

Setup guide

Set up EZO Asset Intelligence 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 EZO Asset Intelligence 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="EZO Asset Intelligence_agent",
    model="gemini-2.0-flash",
    instruction="You have access to EZO Asset Intelligence tools via MCP.",
    tools=mcp_tools,
)

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by EZO Asset Intelligence. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about EZO Asset Intelligence MCP in Google ADK

You use the McpToolset to mount the server endpoint. Once connected, your LlmAgent gains access to the 10 defined tools for asset and member management.

Yes. You can pass large volumes of asset data from `list_managed_assets` into your Gemini model's context window. This allows for complex analysis of your entire equipment pool.

You manage access via your EZO API key. The MCP server communicates over HTTPS, ensuring your inventory data remains encrypted during transit between EZO and your agent.

You can pass an optional tool_names filter when configuring your McpToolset. This allows you to restrict your agent to specific functions like checking asset availability.

The server transmits your `list_asset_locations` data directly to your agent's runtime. We do not cache or persist your physical location logs on our servers.

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