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Asset Panda MCP Server for Google ADK 8 tools — connect in under 2 minutes

Built by Vinkius GDPR 8 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Asset Panda as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

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="asset_panda_agent",
    instruction=(
        "You help users interact with Asset Panda "
        "using 8 available tools."
    ),
    tools=[mcp_tools],
)
Asset Panda
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 Asset Panda MCP Server

The Asset Panda MCP Server provides a flexible natural language interface to your asset tracking and management platform. Empower your AI agent to manage your entire inventory, from high-level entity groups to individual asset details and location tracking.

Google ADK natively supports Asset Panda as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 8 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

Key Features

  • Group Management — List all organizational entities (Groups) to understand how your data is structured.
  • Asset Tracking — Retrieve detailed information for individual objects (assets), including custom field values.
  • Inventory Oversight — List and search for assets within specific groups to maintain an accurate inventory.
  • Asset Lifecycle — Create and update asset records directly from your chat interface to reflect real-world changes instantly.
  • Location Management — Track where your assets are across different sites and departments.
  • Secure OAuth 2.0 — Uses secure Client Credentials flow to ensure safe access to your organization's inventory data.

The Asset Panda MCP Server exposes 8 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 Asset Panda to Google ADK via MCP

Follow these steps to integrate the Asset Panda MCP Server with Google ADK.

01

Install Google ADK

Run pip install google-adk

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Create the agent

Save the code above and integrate into your ADK workflow

04

Explore tools

The agent will discover 8 tools from Asset Panda via MCP

Why Use Google ADK with the Asset Panda MCP Server

Google ADK provides unique advantages when paired with Asset Panda through the Model Context Protocol.

01

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

02

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Asset Panda

03

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

04

Seamless integration with Google Cloud services means you can combine Asset Panda tools with BigQuery, Vertex AI, and Cloud Functions

Asset Panda + Google ADK Use Cases

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

01

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

02

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

03

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

04

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

Asset Panda MCP Tools for Google ADK (8)

These 8 tools become available when you connect Asset Panda to Google ADK via MCP:

01

create_object

Create a new object (asset) in a group

02

get_account_check

Verify Asset Panda account connection

03

get_group

Get metadata for a specific asset group

04

get_object

Get details for a specific object (asset)

05

list_groups

List all asset groups (entities) in Asset Panda

06

list_locations

List all locations (alias for list_groups)

07

list_objects

List all objects (assets) within a specific group

08

update_object

Update an existing object (asset)

Example Prompts for Asset Panda in Google ADK

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

01

"List all asset groups in my account."

02

"Show me the assets in the 'Laptops' group (ID: 12345)."

03

"Update the status of asset 'obj_9988' in group '123' to 'In Repair'."

Troubleshooting Asset Panda MCP Server with Google ADK

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

01

McpToolset not found

Update: pip install --upgrade google-adk

Asset Panda + Google ADK FAQ

Common questions about integrating Asset Panda MCP Server with Google ADK.

01

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.
02

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.
03

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.

Connect Asset Panda to Google ADK

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.