Integrate Edamam with Claude, Cursor, Chatbots & AI Agents MCP Server

Analyze nutrition from natural language, search recipes with dietary filters, and access a comprehensive food database with Edamam's AI-powered platform.

GDPR Free for Subscribers

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

analyze

Analyze nutrition on Edamam

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 on Edamam

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

Security & Code Integrity Audit

Every tool in the Edamam MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.

A+Score: 100

How Vinkius protects your data

Is there a risk of the AI "going crazy" and deleting important company data?

No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.

Can I audit what my AI agents are doing with this integration?

Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.

What if the AI ends up reading customer data or confidential information?

We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.

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.

Triggering Edamam via Natural Language

Connect your AI agents and chatbots (Claude, ChatGPT, Cursor) with the Edamam MCP server to manage operations across the following domains.

Streamlining nutritional analysis

The Edamam server exposes documented endpoints for nutritional analysis. This allows ChatGPT and Cursor to interact with artificial intelligence APIs seamlessly.

LLM Orchestration for recipe search

The Edamam integration exposes LLM-friendly schemas for recipe search. Tools like Cursor can map natural language directly into executable artificial intelligence commands.

Edamam. Runs on everything.

From IDE to framework. Every connection governed by Vinkius.

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Anthropic's native desktop app for Claude with built-in MCP support.

CursorIDE

AI-first code editor with integrated LLM-powered coding assistance.

VS Code CopilotIDE

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WindsurfIDE

Purpose-built IDE for agentic AI coding workflows.

ClineIDE

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Anthropic's agentic CLI for terminal-first development.

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LangChainFramework

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AutoGenFramework

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