How to Use the Extensiv MCP in Google ADK

Q: How do I register the Extensiv MCP Server in Google ADK?

Install google-adk and configure McpToolset with your Vinkius HTTP endpoint. Pass this toolset into your LlmAgent configuration to expose tools like listinventory to Gemini. The framework handles the transport layer automatically.

Q: Can I restrict which Extensiv tools Google ADK can access?

Yes, you can use the toolnames filter in McpToolset to limit tool exposure. For instance, you can restrict an agent to only use listproducts and listbrands while blocking access to financial vendor data. This ensures your agents operate with least-privilege access.

Q: How does Gemini's long context benefit my supply chain operations?

Gemini can ingest your entire product catalog from listproducts and current orders from listorders simultaneously. The agent analyzes complex relationships across thousands of SKUs and orders without hitting token limits. This enables deep reasoning over your entire fulfillment operation.

Q: Where does my Extensiv shipment data go during execution?

Your listshipments data, including tracking numbers and carrier details, is processed within your secure Google Cloud environment. Vinkius runs the MCP Server in a zero-trust V8 sandbox, ensuring no transit data is stored or logged. Your API tokens remain encrypted, and all communication uses TLS 1.3 to prevent interception.

Connect Gemini to your Extensiv supply chain data with Google ADK for enterprise reasoning.

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Connect Extensiv MCP to Google ADK

Create your Vinkius account to connect Extensiv 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 Extensiv with Google ADK

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Analyze Extensiv warehouse capacity with Google ADK

The Extensiv `list_warehouses` tool feeds your physical locations, addresses, and capabilities directly into the Gemini long-context window using Google ADK. Your Google ADK agent analyzes physical storage constraints alongside live stock counts. Gemini optimizes your regional Extensiv distribution strategy based on these real-world constraints. By feeding this Extensiv data into BigQuery, your Google ADK agent runs complex SQL queries on historical trends. The Google agent combines live warehouse capabilities with past performance metrics to suggest optimal stock levels. You get data-backed Extensiv distribution plans directly from your enterprise Gemini agent.

Track vendor performance using Google ADK and MCP Server

The Extensiv `list_vendors` tool gives your Gemini agent direct access to contact details, lead times, and payment terms for all suppliers via Google ADK. The Google agent cross-references this data with incoming purchase orders from `list_pos`. Analyzing these patterns reveals which Extensiv vendors consistently miss their expected delivery dates. Gemini's 1M+ token context window processes years of Extensiv vendor performance data in a single turn. The Google ADK agent flags late shipments and calculates the financial impact of supply chain delays. Your team receives automated, detailed reports on Extensiv vendor reliability without manual spreadsheet work.

Real-time shipment tracking for Google ADK workflows

The Extensiv `list_shipments` tool exposes carrier details, tracking numbers, and delivery statuses to your enterprise agents via the Google ADK MCP Server. Your Google ADK agent monitors this data to track active transit times across different regions. Identifying bottlenecks early keeps your customer satisfaction scores high. Integrating this Extensiv tool with Vertex AI allows you to predict delivery delays based on real-time transit patterns. The Google agent checks `list_orders` to notify customers of any changes in their fulfillment status. You automate Extensiv customer updates while keeping your internal tracking database accurate.

Setup guide

Set up Extensiv 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 Extensiv 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="Extensiv_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Extensiv tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Extensiv. 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 Extensiv MCP in Google ADK

Install `google-adk` and configure `McpToolset` with your Vinkius HTTP endpoint. Pass this toolset into your `LlmAgent` configuration to expose tools like `list_inventory` to Gemini. The framework handles the transport layer automatically.

Yes, you can use the `tool_names` filter in `McpToolset` to limit tool exposure. For instance, you can restrict an agent to only use `list_products` and `list_brands` while blocking access to financial vendor data. This ensures your agents operate with least-privilege access.

Yes, the framework supports both transports seamlessly. For hosted Vinkius deployments, use the streamable HTTP server parameters to connect your agent to the cloud-hosted server. This setup eliminates local hosting overhead.

Gemini can ingest your entire product catalog from `list_products` and current orders from `list_orders` simultaneously. The agent analyzes complex relationships across thousands of SKUs and orders without hitting token limits. This enables deep reasoning over your entire fulfillment operation.

Your `list_shipments` data, including tracking numbers and carrier details, is processed within your secure Google Cloud environment. Vinkius runs the MCP Server in a zero-trust V8 sandbox, ensuring no transit data is stored or logged. Your API tokens remain encrypted, and all communication uses TLS 1.3 to prevent interception.

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