How to Use the MarketMan MCP in Google ADK

Q: How do I configure Google ADK to talk to the MarketMan MCP Server?

Install the SDK with pip install google-adk. Then define your toolset using McpToolset with your Vinkius HTTP URL and pass it to your LlmAgent.

Q: Can Gemini models in Google ADK read raw MarketMan inventory sheets?

Yes. The model calls getcountsheets to retrieve active physical counts. Gemini's long context window easily handles large sheets containing thousands of individual ingredients.

Q: Can I limit which MarketMan tools my Google ADK agent can access?

Yes, you can use the toolnames parameter in your MCP toolset configuration. This allows you to restrict the agent to reading categories via listcategories while blocking purchasing tools.

Feed live MarketMan inventory and supplier data directly to your Google ADK enterprise agents for deep reasoning.

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Create your Vinkius account to connect MarketMan 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 MarketMan with Google ADK

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Run long-context food cost analysis in Google ADK

Enterprise kitchens generate massive amounts of operational data. By pairing this MCP Server with Google ADK, your Gemini models can ingest months of inventory sheets using `get_count_sheets` and process them inside a massive 1-million-token context window. This combination lets you run complex reasoning over your entire back-of-house history. The agent can compare raw ingredient costs against historical menu pricing to pinpoint exactly where your margins are shrinking.

Connect MarketMan vendor data to BigQuery pipelines

Bring your restaurant operations into your Google Cloud ecosystem. Your enterprise agents can use `list_vendors` and `list_purchase_orders` to pull supplier records and feed them directly into your BigQuery dataset. This eliminates manual export scripts. You can run automated audits that compare your contract pricing in BigQuery with the actual invoices logged in your kitchen management system.

Monitor kitchen waste trends across multiple locations

Keep track of food waste across your entire enterprise. The agent calls `get_waste_events` and `get_restaurant_info` to map waste patterns to specific geographic locations or store formats. You can restrict which tools are exposed to the agent by passing a `tool_names` filter in your Python setup. This ensures a junior agent can only view category counts using `list_categories` without accessing sensitive financial data.

Setup guide

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

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

Install the SDK with `pip install google-adk`. Then define your toolset using `McpToolset` with your Vinkius HTTP URL and pass it to your `LlmAgent`.

Yes. The model calls `get_count_sheets` to retrieve active physical counts. Gemini's long context window easily handles large sheets containing thousands of individual ingredients.

Yes. You can connect your agent to the MCP endpoint using either transport method. For cloud-deployed enterprise agents, the Streamable HTTP transport is the most reliable way to connect to Vinkius.

Yes, you can use the `tool_names` parameter in your MCP toolset configuration. This allows you to restrict the agent to reading categories via `list_categories` while blocking purchasing tools.

Yes. Your vendor records and purchase orders remain inside your Google Cloud boundary. Vinkius executes the tool calls in isolated sandboxes, ensuring your proprietary pricing agreements are never exposed.

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