How does the natural language nutrition analysis work?

Simply type any food description — like '2 eggs and 1 slice of toast with butter' — and Edamam's NLP engine will parse the text, identify each ingredient, and return precise calorie and nutrient data. No need for structured inputs or food IDs.

Does the API offer filters for vegan or paleo diets?

Yes, the recipe tool provides extensive dietary and health label filters including 'vegan', 'paleo', 'keto-friendly', 'gluten-free', and many more.

Are both API endpoints completely free?

Yes, Edamam offers a Developer tier that is free of charge for both the Recipe Search API and the Nutrition Analysis API with certain monthly limits.

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

Name: Edamam
Availability: InStock
Author: Vinkius

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

Built by Vinkius GDPR 2 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Edamam 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="edamam_agent",
    instruction=(
        "You help users interact with Edamam "
        "using 2 available tools."
    ),
    tools=[mcp_tools],
)

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* 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 Edamam MCP Server

The Edamam MCP Server brings advanced nutritional intelligence to your AI agent. Edamam's unique NLP engine can parse any food description in natural language and return instant, precise nutritional analysis.

Google ADK natively supports Edamam as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 2 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

Core Capabilities

Natural Language Nutrition — Type "1 cup brown rice and 200g chicken breast" and get instant calorie, protein, fat, carb, and fiber breakdown. No structured input needed.
Recipe Search — Search recipes with advanced filters for cuisine, diet, and health labels (gluten-free, vegan, keto, peanut-free, etc.).
Dietary Intelligence — Built-in support for 40+ health and diet labels including allergen-free variants.

Free developer tier available. Requires app_id and app_key from the Edamam developer portal. The most advanced nutrition analysis engine available.

The Edamam MCP Server exposes 2 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 Edamam to Google ADK via MCP

Follow these steps to integrate the Edamam 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 2 tools from Edamam via MCP

Why Use Google ADK with the Edamam MCP Server

Google ADK provides unique advantages when paired with Edamam 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 Edamam

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 Edamam tools with BigQuery, Vertex AI, and Cloud Functions

Edamam + Google ADK Use Cases

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

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

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

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

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

Edamam MCP Tools for Google ADK (2)

These 2 tools become available when you connect Edamam to Google ADK via MCP:

analyze_nutrition

g. "1 cup brown rice", "200g chicken breast", "1 large avocado") and get instant calorie, protein, fat, carb, and fiber breakdown. Powered by Edamam's NLP nutrition engine. Analyze the nutritional content of any food or ingredient using natural language

search_edamam_recipes

Supports filtering by cuisine type (American, Asian, Chinese, French, Indian, Italian, Japanese, Mediterranean, Mexican), diet (balanced, high-fiber, high-protein, low-carb, low-fat, low-sodium), and health labels (alcohol-free, dairy-free, gluten-free, keto-friendly, peanut-free, vegan, vegetarian). Search the Edamam recipe database with advanced dietary and health filters

Example Prompts for Edamam in Google ADK

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

"How many calories in 2 eggs and a slice of avocado toast?"

"Find 3 gluten-free dinner recipes with chicken."

"Analyze the nutrition for a peanut butter sandwich."

Troubleshooting Edamam MCP Server with Google ADK

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

McpToolset not found

Update: pip install --upgrade google-adk

Edamam + Google ADK FAQ

Common questions about integrating Edamam 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.