How to Use the Pasta Water Ratio MCP in Google ADK

Q: How do I connect the Pasta Water Ratio MCP to a Google ADK agent?

It's straightforward. You instantiate an McpToolset with the Vinkius server URL and pass it to your LlmAgent's tool list. You can use the toolnames filter to expose only the functions you need.

Connect your Google ADK agents to BigQuery-scale culinary data for perfect pasta.

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Connect Pasta Water Ratio MCP to Google ADK

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Setup Pasta Water Ratio with Google ADK

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Enterprise-Scale Recipe Execution

This MCP gives your Google ADK agent the functions to execute pasta recipes with precision. Use the `get_ideal_ratios` tool to calculate exact water and salt needs for pasta pulled from a BigQuery inventory table. Forget manual calculations. Your agent can now process an entire restaurant's nightly orders, determine the cooking parameters for each batch, and integrate the results back into your Google Cloud workflow.

Validate Salinity Against Your Datasets

Ensure consistency across every dish by having your agent `verify_salinity`. It checks the salt-to-water percentage against ideal values, flagging any deviations before they become a problem. You can even use Gemini's long-context window to analyze historical cooking data from Vertex AI, then use this tool to enforce the optimal salinity your models have identified. This MCP makes your data actionable.

Predict Cooking Outcomes with your MCP Server

Let your agent `assess_texture_risk` to prevent costly mistakes in a commercial kitchen. The tool uses water volume and pasta type to warn about potential over or undercooking. This isn't just a timer; it's a predictive tool that integrates directly into your Google ADK agent. It gives your automated system the judgment it needs to handle the nuances of cooking, backed by the power of your cloud infrastructure.

Setup guide

Set up Pasta Water Ratio 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 Pasta Water Ratio 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="Pasta Water Ratio_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Pasta Water Ratio tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Pasta Water Ratio MCP in Google ADK

It's straightforward. You instantiate an `McpToolset` with the Vinkius server URL and pass it to your `LlmAgent`'s tool list. You can use the `tool_names` filter to expose only the functions you need.

Absolutely. That's a core use case. Your agent can query BigQuery for pasta types and quantities, pass that data to this MCP's tools, and get back exact cooking instructions.

Yes. The MCP is model-agnostic. It provides the tools, and your Gemini-powered agent decides when and how to call them, whether you're processing a simple query or a million-token document.

The models assume standard semolina pasta and sea-level atmospheric pressure. For high-altitude kitchens or for gluten-free pasta, you may need to apply an adjustment factor to the results from the MCP server.

Your agent only sends non-sensitive cooking parameters, such as pasta shape and desired quantity, to the MCP. All communication is over HTTPS, and Vinkius's policy is to process the data for the request and immediately discard it.

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