Nutritionix 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 Nutritionix 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: {
"nutritionix": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Nutritionix Agent",
instructions:
"You help users interact with Nutritionix " +
"using 2 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Nutritionix?"
);
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 Nutritionix MCP Server
The Nutritionix MCP Server gives your AI agent access to the industry's most advanced natural language food analysis engine.
Mastra's agent abstraction provides a clean separation between LLM logic and Nutritionix 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
- NLP Food Analysis — Type anything like "3 slices of pizza and a diet coke" and get instant, precise nutritional breakdown per item.
- Comprehensive Macros — Returns calories, protein, fat, carbs, fiber, sugar, sodium, and cholesterol per serving.
- Instant Search — Search the Nutritionix database of common and branded foods including restaurant chains.
- Restaurant Coverage — Extensive menu item data from national and regional restaurant chains.
The Nutritionix 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 Nutritionix to Mastra AI via MCP
Follow these steps to integrate the Nutritionix 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 Nutritionix via MCP
Why Use Mastra AI with the Nutritionix MCP Server
Mastra AI provides unique advantages when paired with Nutritionix through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Nutritionix 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 Nutritionix 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
Nutritionix + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Nutritionix MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Nutritionix, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Nutritionix as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Nutritionix on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Nutritionix tools alongside other MCP servers
Nutritionix MCP Tools for Mastra AI (2)
These 2 tools become available when you connect Nutritionix to Mastra AI via MCP:
analyze_food_nutrition
g. "3 slices of pizza and a coke", "1 cup of brown rice", "grilled salmon 200g") and get instant, precise nutritional breakdown including calories, protein, fat, carbs, fiber, sugar, sodium, and cholesterol. The most advanced NLP food parsing engine available. Analyze nutritional content of any food using natural language — powered by Nutritionix NLP
search_nutritionix_foods
Returns both generic foods and brand-specific items with calorie data. Search Nutritionix for common and branded food items
Example Prompts for Nutritionix in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with Nutritionix immediately.
"Analyze the nutrition of 2 eggs, 1 toast with butter, and a glass of orange juice."
"Calculate the macros for 1 cup of oatmeal with a sliced banana and a tablespoon of peanut butter."
"How many calories in a Starbucks Grande Caramel Macchiato with almond milk?"
Troubleshooting Nutritionix MCP Server with Mastra AI
Common issues when connecting Nutritionix to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpNutritionix + Mastra AI FAQ
Common questions about integrating Nutritionix 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 Nutritionix with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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.
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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 Nutritionix to Mastra AI
Get your token, paste the configuration, and start using 2 tools in under 2 minutes. No API key management needed.