Edamam MCP Server for Mastra AI 2 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Edamam through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"edamam": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Edamam Agent",
instructions:
"You help users interact with Edamam " +
"using 2 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Edamam?"
);
console.log(result.text);
}
main();
* 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.
Mastra's agent abstraction provides a clean separation between LLM logic and Edamam tool infrastructure. Connect 2 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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.
The Edamam MCP Server exposes 2 tools through the Vinkius. Connect it to Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Edamam MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 2 tools from Edamam via MCP
Why Use Mastra AI with the Edamam MCP Server
Mastra AI provides unique advantages when paired with Edamam through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Edamam without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Edamam tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Edamam + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Edamam MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Edamam, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Edamam as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Edamam on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Edamam tools alongside other MCP servers
Edamam MCP Tools for Mastra AI (2)
These 2 tools become available when you connect Edamam to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Edamam to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpEdamam + Mastra AI FAQ
Common questions about integrating Edamam MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Edamam with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Edamam to Mastra AI
Get your token, paste the configuration, and start using 2 tools in under 2 minutes. No API key management needed.