How to Use the Asset Panda MCP in Google ADK

Q: Can I list Asset Panda groups in Google ADK?

Use listgroups to retrieve your categories. The agent treats them as structured input for its reasoning loop.

Q: How do I update Asset Panda records in Google ADK?

You invoke updateobject with the specific asset ID and the new field values. The server commits the change to your account immediately.

Sync your enterprise inventory into Google ADK with this MCP Server for direct asset control.

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Connect Asset Panda MCP to Google ADK

Create your Vinkius account to connect Asset Panda 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 Asset Panda with Google ADK

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Querying Asset Panda via Google ADK

Use `list_groups` to pull your entire organizational structure into your Gemini-powered agent. It maps your inventory hierarchy into a format your model can reason about. Your agent parses the metadata returned by `get_group` to decide which assets to target next. It turns your inventory list into a searchable index.

Direct inventory control in Google ADK

Run `get_object` to retrieve specific serial numbers or status codes. Your agent extracts the data and feeds it into your BigQuery analysis pipelines. It removes the friction of manual data entry. Your code now has eyes on every asset in your database.

Validating Asset Panda connectivity in Google ADK

Call `get_account_check` to verify your credentials before running batch updates. It confirms your agent has the right access level. This prevents runtime errors during complex inventory tasks. You get immediate feedback on your server connection status.

Setup guide

Set up Asset Panda 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 Asset Panda 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="Asset Panda_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Asset Panda 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 Asset Panda. 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 Asset Panda MCP in Google ADK

The server uses a standard HTTP transport to link your inventory records to your agent. It integrates cleanly with your existing Google Cloud stack.

Use `list_groups` to retrieve your categories. The agent treats them as structured input for its reasoning loop.

The Vinkius sandbox keeps your inventory records ephemeral. No data persists outside the active agent execution.

You invoke `update_object` with the specific asset ID and the new field values. The server commits the change to your account immediately.

All traffic is routed through an authenticated endpoint. Your inventory data is encrypted in transit and never stored by our platform.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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