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How to Use the Dutchie POS MCP in Google ADK

Feed Dutchie POS catalog and inventory data directly to Gemini models using the Google ADK for enterprise analysis.

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Google ADK

Connect Dutchie POS MCP to Google ADK

Create your Vinkius account to connect Dutchie POS 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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Long-context retail analysis via Google ADK

Gemini models can ingest millions of tokens, making them perfect for parsing massive retail lists. Feed the entire output of `list_retail_products` and `list_retail_orders` directly into your agent's context window. This setup lets you run deep audits over months of sales data in a single turn. Your enterprise agent can cross-reference physical inventory lots with BigQuery tables without hitting context limits.

Enterprise data joining with this MCP Server

Connect your dispensary metrics with your wider Google Cloud infrastructure. By exposing this MCP Server to your LlmAgent, you can write BigQuery pipelines that trigger actions based on live POS metrics. Use `quick_pos_sales_audit` to grab sales summaries, then let your agent dump those metrics into a cloud warehouse. It bridges the gap between your retail counter and your data lake.

Fine-grained tool exposure control

You don't have to expose all ten tools to your cloud agents. Use the `tool_names` filter in the MCP toolset to restrict access to sensitive operations. Keep your compliance tight by only exposing `list_low_stock_inventory` to your auto-reordering agent. This prevents the agent from touching customer data while it manages your shelf stock.

Setup guide

Set up Dutchie POS 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 Dutchie POS 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="Dutchie POS_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Dutchie POS 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 Dutchie POS. 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 Dutchie POS MCP in Google ADK

Install the package via pip and use `McpToolset` with the Streamable HTTP parameters pointing to your Vinkius URL. Pass this toolset into your `LlmAgent` tools list.
Yes, you can use the `tool_names` filter when initializing the toolset. This lets you hide tools like `list_pos_customers` while keeping catalog tools active.
It does. You can run the server locally via Stdio for quick testing or connect to the Vinkius hosted HTTP endpoint for production workloads.
Gemini's massive context window easily digests the complete payload of `list_current_inventory`. The model can analyze thousands of inventory lots without losing track of instructions.
All retail inventory lots and SKU details are processed in an ephemeral, zero-trust MCP container. Vinkius secures the connection with a single token, keeping your physical inventory metrics safe from external exposure.

Start using the Dutchie POS MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 10 tools

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

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