Edamam MCP for AI. Find precise nutrition facts and meal ideas.

Q: Can I search for recipes based on specific dietary restrictions like gluten-free or vegan?

Yes! Use the searchrecipes tool and specify your requirements in the health or diet parameters to filter for labels like 'vegan', 'gluten-free', or 'low-carb'.

Q: How do I get a detailed nutritional breakdown for a list of ingredients?

You can use the analyzenutrition tool. Simply provide an array of ingredient strings (e.g., '1 cup of flour', '2 eggs'), and the agent will return calories and nutrient levels.

Q: Can I look up specific food items or products using their name or UPC?

Yes, the parsefood tool allows you to look up data for over 900,000 foods by entering the food name or a UPC barcode string.

Q: What’s the best process for using both searchrecipes and analyzenutrition?

First, use searchrecipes to find potential meals based on keywords. Once you select a recipe, pass its specific ingredients list or nutritional data directly to analyzenutrition for a precise breakdown.

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

Connect to your AI in seconds.

Edamam gives your agent access to a massive food intelligence database, covering over 2.3 million recipes and 900,000+ individual food items.

Need to plan meals around specific diets? Want detailed calorie counts for complex ingredients? This MCP handles everything from searching by cuisine type or filtering for vegan options, to scientifically analyzing the macros of any ingredient list.

What your AI can do

Analyze nutrition

Calculates the total calories, fats, proteins, and micronutrients for a specified recipe.

Parse food

Retrieves detailed data on a specific food item from the vast internal database using names or UPC codes.

Search recipes

Searches through millions of recipes, allowing filtering by keywords, dietary restrictions, and cuisine types.

Search recipe ideas

Find recipes across millions of entries using keywords, dietary labels, and cuisine types.

Analyze ingredient macros

Get detailed nutritional facts for any combination of ingredients or a full recipe.

Identify specific food items

Look up data on over 900,000 foods using names, UPC codes, or general descriptions.

Ask an AI about this

Included with Plan

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AI Agent

Edamam MCP: 3 Tools Available

These tools let you search for recipes, calculate nutrition facts from ingredients, and look up data on specific foods.

Make your AI actually useful.

Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.

Start using Edamam on Vinkius

Analyze Nutrition

Calculates the total calories, fats, proteins, and micronutrients for a specified recipe.

Parse Food

Retrieves detailed data on a specific food item from the vast internal database...

Search Recipes

Searches through millions of recipes, allowing filtering by keywords, dietary...

Security and governance baked right in.

Pick your AI client below to get set up. Just create a Vinkius account, subscribe, and you're instantly up and running. We handle the entire backend infrastructure, delivering out-of-the-box support for HTTPS Streamable, SSE, and OAuth2—zero messy routing required.

Claude AI

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

Start a conversation

Open a new chat. The Edamam integration is available immediately — no restart needed.

Antigravity

Configure Agent Environment

Open your Antigravity agent's workspace configuration or mcp-servers.json file.

Bind the Endpoint

Add the Vinkius endpoint URL to your agent's MCP connections list:

"mcp_servers": {
  "edamam-extended": {
    "serverUrl": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
  }
}

Provide your secure token in place of [YOUR_TOKEN_HERE] to ensure your agent requests are authenticated.

Execute

Start your Antigravity session. The agent will autonomously discover and utilize the Edamam tools with full Vinkius guardrails applied.

VS Code Copilot

⚡

One-Click Install (Recommended)

In your Vinkius Dashboard, simply click the Add to VS Code button for this server. We'll automatically configure your local workspace.

Or configure manually

Open MCP Settings

Open VS Code, press Ctrl/Cmd + Shift + P, and search for GitHub Copilot: MCP Servers.

Add Server Config

Add the Vinkius endpoint configuration to your mcp-servers.json file:

"edamam-extended": {
  "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}

Ensure you replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.

LangChain

Install Dependencies

Install the LangChain MCP adapters for your environment:

pip install langchain-mcp-adapters

Connect the Server

Use the SSEClient in LangChain to connect to the Vinkius managed endpoint:

from langchain_mcp_adapters.client import SSEClient

# Connect to Vinkius
client = SSEClient(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
tools = client.get_tools()

CrewAI

Define the Tool

Load the Vinkius MCP tools into your CrewAI agents:

from crewai import Agent
from mcp_crewai import MCPTool

# Connect securely to Vinkius
vinkius_tools = MCPTool(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

# Assign to Agent
researcher = Agent(
    role='Data Researcher',
    tools=vinkius_tools.get_all()
)

Execute Task

Run your CrewAI process. The agent will autonomously route tasks to the Vinkius managed server.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

Import from OpenAPI, Swagger, or YAML specs
Create Agent Skills with progressive disclosure
Deploy to edge with MCPFusion framework
Built in DLP, auth, and compliance on every call
Real time usage dashboard and cost metering
Publish to catalog or keep private

Start building

Make Your AI Do More

Start with Edamam, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.

Use this MCP plus 5,100+ others, all in one place
Add new capabilities to your AI anytime you want
Every connection is secured and compliant automatically
Track usage and costs across all your servers
Works with Claude, ChatGPT, Cursor, and more
New servers added to the catalog every week

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Edamam. 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.

VINKIUS INFRASTRUCTURE

Cloud Hosted

Managed infra

V8 Isolated

Sandboxed per request

Zero-Trust Proxy

No stored credentials

DLP Enforced

Policy on every call

GDPR Compliant

EU data residency

Token Compression

~60% cost reduction

Your data is protected. See how we built it.

Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This connection provides 3 powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.

Figuring out nutrition from recipes is a massive headache.

Today, building a healthy meal plan means hopping between at least four different sites. You find a recipe; you copy the ingredient list into Google to check the nutritional data; then you have to manually calculate the total calories and macros for every single serving. It's click-heavy, error-prone work that eats up hours.

With this MCP, your agent handles all of that complexity in one go. You tell it: 'I need a low-carb dinner using chicken.' The system automatically pulls recipe ideas, verifies the ingredients with `parse_food`, and gives you the final nutritional breakdown—all without you lifting a finger.

Edamam MCP delivers instant food intelligence.

The manual steps that vanish are database cross-referencing, UPC lookups, and macro summation. You never have to worry about whether an ingredient is raw or packaged; the data is standardized for you.

What's different now? Your agent doesn't just give you a list of recipes; it gives you verifiable, actionable nutritional intelligence tailored precisely to your needs.

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What your AI can actually do with this

Edamam connects your AI client directly to professional-grade nutrition data. You don't need to manage a recipe database; you just ask your agent what you want—a meal plan for a keto week, or ingredients that match a specific allergen profile—and it finds the answer. The service lets you search through millions of recipes using keywords and detailed filters like 'high-protein' or 'low-carb'.

It also provides deep nutritional breakdowns: calculating calories, fats, proteins, and micronutrients from any list of ingredients. You can look up packaged goods by UPC code, giving you raw data on everything from restaurant sides to supermarket items. Because Vinkius manages the connections, your agent accesses this entire food intelligence library whether you're building a health app or just planning dinner tonight.

Built · Hosted · Managed by Vinkius Edamam MCP - Recipes and Nutrition Data Search

Server ID 019e5d15-b86a-713c-a8fe-32acb8774387

Vinkius Inspector

Compliance Grade A+

Score 100/100

Report View Report ↗

What Changes When You Connect

Get targeted recipe lists: Use search_recipes to pull millions of recipes filtered exactly by what your client needs, like vegan or low-carb meals.

Pinpoint nutritional details: Instead of guessing, use analyze_nutrition to get precise breakdowns of calories and macros for any ingredient mix.

Database lookup power: The parse_food tool lets you look up nearly any packaged good or raw ingredient by name or UPC code. This is huge for accuracy.

Dietary compliance assurance: You can filter results based on allergens and specific nutritional goals, ensuring your recommendations are safe and effective.

Workflow acceleration: By using this MCP within Vinkius, you bypass building a massive local food database yourself.

See it in action

01 01

Planning a post-workout meal

A client needs recipes that are high in protein and low in fat. The agent uses search_recipes to narrow the options, then automatically invokes analyze_nutrition on the top results so you can show them the exact macro counts.

02 02

Verifying a recipe's ingredients

You receive an old family recipe with vague ingredient names. You use the agent to run those items through parse_food first, standardizing the data, before running it through analyze_nutrition to give accurate macro counts.

03 03

Comparing store-bought goods

You are shopping for alternatives. You simply ask your agent to check two different brands of yogurt using parse_food. It returns the specific nutritional data points side-by-side, letting you make a choice.

The honest tradeoffs

Asking for general health advice

Anti-pattern

Prompting your agent with 'What should I eat to feel better?' The response will be vague and unhelpful because it lacks specific data points.

The Fix

Instead, ask the agent to search recipes using search_recipes combined with a specific restriction, like 'Search for high-fiber vegetarian meals.' This forces the system to use actionable tools.

Only searching by keyword

Anti-pattern

Searching for 'chicken recipe' and getting thousands of results, most of which are irrelevant or lack nutritional context.

The Fix

Force filters in your prompt. Use search_recipes with multiple constraints: 'Search for chicken recipes that must be keto-friendly and Asian cuisine type.' This narrows the focus correctly.

Copying ingredients manually

Anti-pattern

Taking a recipe from one site, listing all 10 ingredients, and then having to paste them into a separate calculator.

The Fix

Let your agent use analyze_nutrition directly. You just tell it the list of items; the tool handles the calculation instantly.

When It Fits, When It Doesn't

Use this MCP if your primary need involves structured food data, nutritional calculations, or large-scale recipe discovery. If you are building a meal planner, an inventory tracker for groceries, or any application that needs ingredient verification by UPC code, this is mandatory. Don't use it if you just want general cooking inspiration—use a simple search engine instead. You must rely on the combination of search_recipes (for context), parse_food (for raw data input), and analyze_nutrition (for calculations). If your task only requires one of these three functions, you can use this MCP; if it requires all three working together, it's perfect.

Questions you might have

Can I search for recipes based on specific dietary restrictions like gluten-free or vegan? +

Yes! Use the search_recipes tool and specify your requirements in the health or diet parameters to filter for labels like 'vegan', 'gluten-free', or 'low-carb'.

How do I get a detailed nutritional breakdown for a list of ingredients? +

You can use the analyze_nutrition tool. Simply provide an array of ingredient strings (e.g., ['1 cup of flour', '2 eggs']), and the agent will return calories and nutrient levels.

Can I look up specific food items or products using their name or UPC? +

Yes, the parse_food tool allows you to look up data for over 900,000 foods by entering the food name or a UPC barcode string.

What credentials do I need before running any tool like `search_recipes`? +

You must provide an Edamam Application ID and Key. Your agent needs these specific credentials to connect to the service, so ensure they are configured in your MCP client settings first.

Are there rate limits when I call `parse_food` repeatedly? +

Yes, API rate limits apply. If you hit a limit, your agent will receive an error code. You'll need to build logic into your workflow that implements retries and waits before trying the lookup again.

What’s the best process for using both `search_recipes` and `analyze_nutrition`? +

First, use search_recipes to find potential meals based on keywords. Once you select a recipe, pass its specific ingredients list or nutritional data directly to analyze_nutrition for a precise breakdown.

Can the system handle recipes with unusual or raw ingredients when using `analyze_nutrition`? +

The tool performs best with established food items. If you have an ingredient not in the database, try to find its standardized name or use parse_food first; this helps improve data accuracy.

How secure is my usage data when I run queries through the MCP? +

Vinkius manages all connections securely using your unique credentials. The system only passes structured tool calls, meaning your API keys stay confined and are never exposed in plain text.

Connect to your AI in seconds.

Analyze nutrition

Parse food

Search recipes

Edamam MCP: 3 Tools Available

Make your AI actually useful.

Analyze Nutrition

Parse Food

Search Recipes

Security and governance baked right in.

Claude AI

Open Claude Settings

Add Custom Connector

Start a conversation

Claude Code

Open your terminal

Add the MCP Server

Start coding

Cursor

One-Click Install (Recommended)

Open Cursor Settings

Add New Server

Use in Composer

Antigravity

Configure Agent Environment

Bind the Endpoint

Execute

VS Code Copilot

One-Click Install (Recommended)

Open MCP Settings

Add Server Config

Windsurf

One-Click Install (Recommended)

Open Windsurf Settings

Add Server Endpoint

LangChain

Install Dependencies

Connect the Server

CrewAI

Define the Tool

Execute Task

Choose How to Get Started

Build Your Own

Make Your AI Do More

Works with Claude, ChatGPT, Cursor, and more

Figuring out nutrition from recipes is a massive headache.

Edamam MCP delivers instant food intelligence.

What your AI can actually do with this

Here's how it actually works

Who is this actually for?

What Changes When You Connect

See it in action

Planning a post-workout meal

Verifying a recipe's ingredients

Comparing store-bought goods

The honest tradeoffs

Asking for general health advice

Only searching by keyword

Copying ingredients manually

When It Fits, When It Doesn't

Questions you might have