API Ninjas MCP Server for Vercel AI SDK 8 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect API Ninjas through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using API Ninjas, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 API Ninjas MCP Server
Connect to API Ninjas and access a comprehensive suite of health and fitness tools through natural conversation.
The Vercel AI SDK gives every API Ninjas tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 8 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Exercise Search — Search 1000+ exercises by name, type, muscle group and difficulty with step-by-step instructions
- Calories Burned — Calculate calories burned for various activities based on weight and duration
- Body Fat — Estimate body fat percentage using the US Navy method
- BMR & TDEE — Calculate Basal Metabolic Rate and Total Daily Energy Expenditure
- Nutrition — Get nutritional info for any food item (calories, protein, carbs, fat)
- Sleep — Get recommended sleep duration based on age and gender
- Steps — Calculate calories burned and distance from step count
The API Ninjas MCP Server exposes 8 tools through the Vinkius. Connect it to Vercel AI SDK 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 API Ninjas to Vercel AI SDK via MCP
Follow these steps to integrate the API Ninjas MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 8 tools from API Ninjas and passes them to the LLM
Why Use Vercel AI SDK with the API Ninjas MCP Server
Vercel AI SDK provides unique advantages when paired with API Ninjas through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same API Ninjas integration everywhere
Built-in streaming UI primitives let you display API Ninjas tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
API Ninjas + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the API Ninjas MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query API Ninjas in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate API Ninjas tools and return structured JSON responses to any frontend
Chatbots with tool use: embed API Ninjas capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with API Ninjas through natural language queries
API Ninjas MCP Tools for Vercel AI SDK (8)
These 8 tools become available when you connect API Ninjas to Vercel AI SDK via MCP:
get_bmr
Requires weight (kg), height (cm), age and gender. Returns BMR value in calories/day. Calculate Basal Metabolic Rate
get_body_fat
Requires waist, neck and height measurements (in cm). For women, also requires hip measurement. Returns body fat percentage and category (lean, fitness, acceptable, obese). Estimate body fat percentage
get_calories_burned
Requires activity name, weight (kg) and duration (minutes). Returns activity name, duration, calories burned and MET value. Calculate calories burned for an activity
get_exercises
Supports filtering by name, type (cardio, olympic_weightlifting, plyometrics, powerlifting, strength, stretching, strongman), muscle (abdominals, abductors, adductors, biceps, calves, chest, forearms, glutes, hamstrings, lats, lower_back, middle_back, neck, quadriceps, traps, triceps) and difficulty (beginner, intermediate, expert). Returns exercise name, type, muscle worked, equipment needed, difficulty level and step-by-step instructions. Search exercises by name, type, muscle or difficulty
get_nutrition
Returns calories, protein, carbohydrates, fat, saturated fat, cholesterol, sodium, potassium, fiber and sugar per 100g serving. Get nutrition info for a food item
get_sleep
Returns recommended sleep range and whether current sleep is adequate. Get recommended sleep duration
get_steps
Requires step count and optionally weight (kg), height (cm), age and gender for more accurate calculations. Calculate calories and distance from steps
get_tdee
Requires weight (kg), height (cm), age, gender and activity level. Returns TDEE value in calories/day with breakdown by activity level. Calculate Total Daily Energy Expenditure
Example Prompts for API Ninjas in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with API Ninjas immediately.
"Find chest exercises for beginners."
"What's the nutritional info for a banana?"
"Calculate my BMR. I'm 30 years old, male, 80kg, 180cm."
Troubleshooting API Ninjas MCP Server with Vercel AI SDK
Common issues when connecting API Ninjas to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpAPI Ninjas + Vercel AI SDK FAQ
Common questions about integrating API Ninjas MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect API Ninjas 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 API Ninjas to Vercel AI SDK
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.