How to Use the Edamam Extended MCP in Google ADK

Q: What happens to my nutritional queries sent through this MCP Server?

Every ingredient string analyzed by analyzenutrition passes through an ephemeral V8 sandbox. We do not store your user-submitted recipe structures or food logs, ensuring compliance with enterprise data policies.

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Connect Edamam Extended MCP to Google ADK

Create your Vinkius account to connect Edamam Extended 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 Edamam Extended with Google ADK

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Analyze whole recipe books in Google ADK

Gemini handles millions of tokens, meaning you can feed it massive food logs. Use `search_recipes` to pull dozens of options, then let the model compare them all in its massive context window. Gemini won't lose track of ingredient details when parsing large recipe lists. It can scan the entire output of `analyze_nutrition` for twenty different meals to find the exact micronutrient balance your user needs.

Map BigQuery user logs to this MCP Server

Right. So you likely have user dietary logs sitting in Google Cloud. By connecting this MCP Server to your `LlmAgent`, your agent can read those logs and immediately look up missing items using `parse_food`. This bridges the gap between your enterprise data warehouse and live food facts. The agent acts as a smart middleware, translating raw database rows into structured nutrition profiles.

Limit Google ADK agent access to specific food tools

You don't always want your agent to have full access to everything. Use the `tool_names` parameter in `McpToolset` to expose only `search_recipes` while blocking nutrition analysis. This keeps your Gemini agent focused and prevents it from wasting Edamam API credits on unexpected search requests. It also minimizes security risks by limiting which recipe tools the Gemini model can execute.

Setup guide

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

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Common questions about Edamam Extended MCP in Google ADK

Install the package, then define your server parameters using `StreamableHttpServerParameters` with your Vinkius URL. Pass this toolset directly into your `LlmAgent` constructor. Your Gemini model can now access all three food endpoints.

No, this managed MCP Server runs over HTTP. You must use the `StreamableHttpServerParameters` configuration to connect your Google Cloud environment to the Vinkius endpoint securely.

The model identifies unstructured food text in your prompt and maps it to `parse_food`. It extracts UPC codes or ingredient names, structured as clean arguments for the tool call.

Yes, Google ADK allows you to mix and match. You can pass this food MCP toolset alongside your custom Vertex AI tools in the same agent configuration block.

Every ingredient string analyzed by `analyze_nutrition` passes through an ephemeral V8 sandbox. We do not store your user-submitted recipe structures or food logs, ensuring compliance with enterprise data policies.

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