ItemPath MCP Server for Google ADK 10 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add ItemPath 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="itempath_agent",
instruction=(
"You help users interact with ItemPath "
"using 10 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 ItemPath MCP Server
Empower your AI agents to manage your warehouse and inventory with ItemPath. This MCP server allows you to list materials, retrieve order details, track inventory transactions, and view storage locations directly through the ItemPath API. Ideal for automating supply chain operations and stock monitoring.
Google ADK natively supports ItemPath as an MCP tool provider. declare 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.
The ItemPath 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 ItemPath to Google ADK via MCP
Follow these steps to integrate the ItemPath 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 ItemPath via MCP
Why Use Google ADK with the ItemPath MCP Server
Google ADK provides unique advantages when paired with ItemPath 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 ItemPath
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 ItemPath tools with BigQuery, Vertex AI, and Cloud Functions
ItemPath + Google ADK Use Cases
Practical scenarios where Google ADK combined with the ItemPath MCP Server delivers measurable value.
Enterprise data agents: ADK agents query ItemPath and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine ItemPath tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query ItemPath regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including ItemPath
ItemPath MCP Tools for Google ADK (10)
These 10 tools become available when you connect ItemPath to Google ADK via MCP:
get_material
Returns SKU details, storage rules, and quantity-on-hand. Essential for analyzing the status of specific inventory items. Retrieves details for a specific material
get_me
Use to verify connection health and current user identity. Gets current authenticated user info
get_order
Returns the list of materials involved, target locations, and picker information. Use this for troubleshooting order fulfillment or providing status updates. Retrieves details for a specific order
list_batches
Essential for managing perishable goods or regulated materials requiring lot tracking. Lists all material batches
list_calls
Useful for debugging integrations and monitoring system interaction frequency. Lists recent API request history
list_locations
Useful for understanding warehouse layout and identifying where specific materials are stored. Lists all storage locations
list_materials
Returns material names, descriptions, and IDs. Use this to identify products for inventory auditing or order analysis. Lists all materials in ItemPath
list_orders
Includes order IDs, types, and current status. Essential for monitoring warehouse throughput and workflow. Lists all orders
list_transactions
Returns timestamps, material IDs, quantity changes, and user IDs. Essential for auditing inventory accuracy and identifying recent stock changes. Lists all inventory transactions
list_users
Useful for identifying who performed specific inventory transactions. Lists all system users
Example Prompts for ItemPath in Google ADK
Ready-to-use prompts you can give your Google ADK agent to start working with ItemPath immediately.
"List all active materials in the warehouse."
"Show me the details for order ID 'ORD-123'."
"Check recent inventory transactions."
Troubleshooting ItemPath MCP Server with Google ADK
Common issues when connecting ItemPath to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkItemPath + Google ADK FAQ
Common questions about integrating ItemPath 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 ItemPath with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 ItemPath to Google ADK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
