Asset Panda MCP Server for Google ADK 8 tools — connect in under 2 minutes
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.
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="asset_panda_agent",
instruction=(
"You help users interact with Asset Panda "
"using 8 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 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.
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 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.
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 Asset Panda
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 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.
Enterprise data agents: ADK agents query Asset Panda and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine Asset Panda tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query Asset Panda regularly and flag policy violations or configuration drift
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:
create_object
Create a new object (asset) in a group
get_account_check
Verify Asset Panda account connection
get_group
Get metadata for a specific asset group
get_object
Get details for a specific object (asset)
list_groups
List all asset groups (entities) in Asset Panda
list_locations
List all locations (alias for list_groups)
list_objects
List all objects (assets) within a specific group
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.
"List all asset groups in my account."
"Show me the assets in the 'Laptops' group (ID: 12345)."
"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.
McpToolset not found
pip install --upgrade google-adkAsset Panda + Google ADK FAQ
Common questions about integrating Asset Panda 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 Asset Panda 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 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.
