Can I use this to generate a formula for a new plant-based meat?

Yes! Use the `create_formulation` tool to instruct Giuseppe to model a specific animal product (e.g., 'Target: Pulled Pork'). You can pass constraints like 'no soy' or 'must contain pea protein'. Giuseppe will return a mathematically generated formula combining plant extracts that mimic the target's molecular profile.

How does Giuseppe match specific flavors?

The `search_flavor_matches` tool analyzes NotCo's proprietary database. Instead of searching for 'beef flavor', Giuseppe searches for the specific volatile molecular compounds that create the beef flavor, and then finds combinations of seemingly unrelated plants (like pineapple and cabbage) that, when combined mathematically, replicate that exact molecular behavior.

Can I predict the cost of a new formulation before making it?

Absolutely. Once Giuseppe generates a formulation, you can pass its ID to the `estimate_cost` tool. The API cross-references the required plant ingredients with global B2B commodity pricing databases to give you an estimated per-kilogram cost for mass production.

NotCo MCP Server for Google ADK 14 tools — connect in under 2 minutes

Name: NotCo
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 14 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add NotCo as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="notco_agent",
    instruction=(
        "You help users interact with NotCo "
        "using 14 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About NotCo MCP Server

Connect your AI agent directly to Giuseppe, NotCo’s proprietary Food Tech AI platform. Accelerate your B2B food research and development by commanding Giuseppe through natural language.

Google ADK natively supports NotCo as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 14 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

AI Formulation Generation — Command Giuseppe to analyze the molecular structure of an animal product and generate a plant-based blueprint using combinations from a database of over 300,000 plants
Ingredient Search — Browse and retrieve the molecular, sensory, and functional profiles of thousands of plant extracts and proteins
Flavor & Texture Matching — Use AI computational models to find plant compounds that replicate specific volatile molecules, aromas, and mouthfeels
Nutritional Label Prediction — Run predictive algorithms on custom plant mixtures to estimate the final nutritional values of a recipe before entering the lab
Cost Estimation — Predict the theoretical mass-production cost of an AI-generated formula based on global commodity pricing

The NotCo MCP Server exposes 14 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect NotCo to Google ADK via MCP

Follow these steps to integrate the NotCo MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 14 tools from NotCo via MCP

Why Use Google ADK with the NotCo MCP Server

Google ADK provides unique advantages when paired with NotCo through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with NotCo

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine NotCo tools with BigQuery, Vertex AI, and Cloud Functions

NotCo + Google ADK Use Cases

Practical scenarios where Google ADK combined with the NotCo MCP Server delivers measurable value.

Enterprise data agents: ADK agents query NotCo and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine NotCo tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query NotCo regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including NotCo

NotCo MCP Tools for Google ADK (14)

These 14 tools become available when you connect NotCo to Google ADK via MCP:

analyze_nutrition

Analyze the nutritional output of a formulation

create_formulation

Request a new AI formulation

create_project

Create a new R&D project

estimate_cost

Predict the mass production cost of a formulation

get_formulation

Get details of a specific AI formulation

get_ingredient

Get complete molecular profile of an ingredient

list_formulations

g., dairy, meat, sauces). List plant-based AI formulations

list_ingredients

Search the plant-based ingredient molecular database

list_nutritional_profiles

List target nutritional benchmarks

list_projects

List active R&D projects

list_sensory_profiles

List standard sensory profiles

list_suppliers

List approved ingredient suppliers

run_sensory_test

Run an AI simulation of a sensory test

search_flavor_matches

Find plant combinations that mimic a target flavor

Example Prompts for NotCo in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with NotCo immediately.

"Ask Giuseppe to create a plant-based alternative for condensed milk, with the constraint 'no palm oil'."

"Run a nutritional analysis on formulation ID #CM-882."

"Estimate the mass-production cost for this formulation."

Troubleshooting NotCo MCP Server with Google ADK

Common issues when connecting NotCo to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

NotCo + Google ADK FAQ

Common questions about integrating NotCo MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.