How to Use the API Ninjas Nutrition MCP in Mastra AI
Build automated, self-healing meal planning workflows with Mastra AI and the API Ninjas Nutrition MCP Server.
Works with every AI agent you already use
…and any MCP-compatible client
Connect API Ninjas Nutrition MCP to Mastra AI
Create your Vinkius account to connect API Ninjas Nutrition to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Parse dietary text inside Mastra AI agents
The `ninja_analyze_nutrition` tool converts unstructured meal descriptions into precise nutritional profiles containing protein, fat, and sugar. Your agent can run this tool inside a Mastra workflow to automatically log daily food intake. If the API call fails due to network hiccups, the framework handles retries automatically. This ensures your tracking pipelines never drop a meal entry.
Build recipe search engines with Mastra AI
The `ninja_search_recipes` tool connects through our MCP Server to find cooking ideas based on whatever ingredients your user has left in their fridge. Your agent takes the raw ingredient list, queries the database, and returns matching options. You can chain this tool with other steps in your pipeline. For instance, find a recipe first, then automatically run the ingredients through the analyzer to verify the total calorie count.
Approve macro updates before saving
The `ninja_analyze_nutrition` tool extracts exact values for cholesterol, sodium, and fiber from text inputs through this MCP tool. When building health apps, you might want a dietitian to verify these numbers before they commit to a database. Mastra makes this easy with built-in tool approval steps. The workflow pauses, alerts a human reviewer, and only saves the macro data once it gets the green light.
Set up API Ninjas Nutrition MCP in Mastra AI
Prerequisites
- Node.js 18+ and a TypeScript project
-
@mastra/mcp+@mastra/corepackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install @mastra/mcp @mastra/coreplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Configure the MCPClient
Create an
MCPClientwith your Vinkius endpoint as aURLobject. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and inject tools
Call
mcpClient.listTools()and spread the result into your agent'stoolsobject. All API Ninjas Nutrition tools become native Mastra tools. - 4
Run with any model
Swap
openai("gpt-4o")for any AI SDK-compatible provider. Callagent.generate()and the agent routes tool calls through MCP automatically.
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";
const mcpClient = new MCPClient({
id: "api-ninjas-nutrition-mcp-client",
servers: {
"api-ninjas-nutrition-mcp": {
url: new URL(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
),
},
},
});
const agent = new Agent({
name: "API Ninjas Nutrition Agent",
model: openai("gpt-4o"),
instructions: "You have access to API Ninjas Nutrition tools.",
tools: {
...(await mcpClient.listTools()),
},
});
const result = await agent.generate(
"List recent API Ninjas Nutrition transactions"
);
console.log(result.text); Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by API Ninjas. 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.
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Common questions about API Ninjas Nutrition MCP in Mastra AI
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the API Ninjas Nutrition MCP today
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