How to Use the Culinary Unit Converter MCP in Google ADK

Give your Google ADK enterprise agents the power to convert recipe volumes and estimate ingredient mass directly inside Vertex AI.

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Connect Culinary Unit Converter MCP to Google ADK

Create your Vinkius account to connect Culinary Unit Converter to Google ADK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup Culinary Unit Converter with Google ADK

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Analyze massive recipe datasets in BigQuery

Your agent uses `convert_volume` to standardize millions of unstructured recipes into metric or imperial units. Enterprise food brands often have massive amounts of unstructured culinary data sitting in cloud storage. Because Google ADK handles massive context windows, your agent can process entire cookbooks at once. It calls the conversion tool on the fly, saving you from writing custom data cleaning scripts.

Translate volume to mass for supply chains

Your agent can call `estimate_mass` to calculate bulk ingredient weights based on density tables when scaling production. Moving from a test kitchen to a factory requires weight measurements rather than cups. This lets your enterprise agents generate accurate bill-of-materials sheets directly from raw culinary inputs. You get reliable weight estimates that map perfectly to your existing inventory systems.

Clean up kitchen data with this MCP Server

Your agent uses `get_unit_details` to verify obscure regional units and extract precise metadata before saving recipes. Inconsistent unit names can ruin database searches. By integrating this MCP directly into your Google ADK agent, you ensure that every incoming recipe is fully understood. The agent resolves ambiguous kitchen terms before the data hits your production pipeline.

Setup guide

Set up Culinary Unit Converter 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 Culinary Unit Converter 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="Culinary Unit Converter_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Culinary Unit Converter 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 Culinary Unit Converter. 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 Culinary Unit Converter MCP in Google ADK

Import the toolset package and define the HTTP server parameters with your URL. Pass the resulting object into your LlmAgent constructor to give your agents instant access to these MCP tools.

Yes, you can use the tool names filter parameter during initialization. This lets you restrict your enterprise agent to specific tools if you want to prevent it from estimating mass.

Yes, your agent can analyze an entire book of recipes in a single prompt. It will call the MCP tools as needed throughout the long text to resolve measurements.

The ADK supports both stdio and HTTP transports for this MCP. You can select whichever method fits your cloud architecture and security compliance rules.

All volumetric calculations and mass estimations happen in an isolated execution environment. Your raw recipe text and ingredient metrics are never stored on disk or used to train public models.

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