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How to Use the Enspire Commerce MCP in Google ADK

Integrate Enspire Commerce into your Google ADK pipelines for enterprise-grade inventory and shipment reasoning.

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Google ADK

Connect Enspire Commerce MCP to Google ADK

Create your Vinkius account to connect Enspire Commerce 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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Inventory logic with Google ADK

Use `list_inventory_levels` to feed stock data into your Gemini-powered workflows. The agent reasons over your entire product catalog in one pass. This MCP Server maps directly to your existing Google Cloud infrastructure. You get consistent data flow for your enterprise agents.

Actionable order auditing

Run `quick_commerce_volume_audit` to get a snapshot of operations. Your agent summarizes performance metrics for your team in seconds. Google ADK models handle the heavy lifting. They process the audit results to suggest specific operational changes.

Network fulfillment control

List your warehouse nodes with `list_fulfillment_locations` to optimize routing. Your agent makes decisions based on current site capacity. This integration works seamlessly with your existing BigQuery data. You connect your live commerce operations to your analytical models.

Setup guide

Set up Enspire Commerce 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. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 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. 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. 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 Enspire Commerce 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="Enspire Commerce_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Enspire Commerce tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Enspire Commerce. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

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visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Enspire Commerce MCP in Google ADK

Use the McpToolset class and point it to your server URL. You can then pass this toolset directly to your LlmAgent instance.
Yes. You can use a tool_names filter when initializing the toolset. This restricts your agent to only the functions you choose to expose.
The Gemini models used by the ADK handle massive context windows. You can pull deep order histories and audit logs without hitting token limits.
The server supports both HTTP and Stdio transports. You pick the connection method that fits your specific deployment environment.
Security is enforced at the transport layer. Every request from your agent to the Enspire Commerce API is isolated within the Vinkius sandbox.

Start using the Enspire Commerce MCP today

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Built & Managed by Vinkius 30s setup 10 tools

We've already built the connector for Enspire Commerce. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 10 tools are live and waiting. You're up and running in seconds.

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