YMovE Fitness MCP Server for Vercel AI SDK 12 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect YMovE Fitness through the 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 YMovE Fitness, 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 YMovE Fitness MCP Server
Empower your AI agent with professional-grade fitness and nutrition intelligence through YMovE Fitness. Access comprehensive databases of exercises, foods, and recipes, or automatically generate customized workout routines and meal plans.
The Vercel AI SDK gives every YMovE Fitness tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 12 tools through the 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
- Workout Generation — Instantly create single-session workouts customized by muscle group, equipment, and difficulty
- Training Programs — Generate multi-week fitness programs tailored to specific goals like hypertrophy or weight loss
- Exercise Dictionary — Access detailed instructions, target muscles, and temporary video demonstrations for hundreds of exercises
- Meal Plan Generation — Mathematically generate a full day of meals that hit your exact calorie and macro targets
- Food Database — Lookup up nutritional data for generic or branded foods by keyword or barcode (UPC/EAN)
- Recipe Search — Find specific recipes filtered by diet constraints (e.g. keto, vegan) and calorie limits
The YMovE Fitness MCP Server exposes 12 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 YMovE Fitness to Vercel AI SDK via MCP
Follow these steps to integrate the YMovE Fitness 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 12 tools from YMovE Fitness and passes them to the LLM
Why Use Vercel AI SDK with the YMovE Fitness MCP Server
Vercel AI SDK provides unique advantages when paired with YMovE Fitness 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 YMovE Fitness integration everywhere
Built-in streaming UI primitives let you display YMovE Fitness 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
YMovE Fitness + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the YMovE Fitness MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query YMovE Fitness in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate YMovE Fitness tools and return structured JSON responses to any frontend
Chatbots with tool use: embed YMovE Fitness capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with YMovE Fitness through natural language queries
YMovE Fitness MCP Tools for Vercel AI SDK (12)
These 12 tools become available when you connect YMovE Fitness to Vercel AI SDK via MCP:
generate_meal_plan
Generate a daily meal plan reaching a specific calorie target
generate_program
g. "hypertrophy", "weight_loss", "strength"). Generate a multi-week training program
generate_workout
Use this when the user wants a routine for today. Generate a custom single-session workout
get_exercise_details
Get complete details and instructions for a specific exercise
get_food_by_barcode
Look up a specific food product by its UPC/EAN barcode
get_food_details
Get detailed nutritional breakdown for a specific food
get_recipe_details
Get full recipe details including ingredients and instructions
list_exercise_types
List all valid exercise types (e.g. strength, cardio, stretching)
list_muscle_groups
List all available muscle groups
search_exercises
It returns a list of matching exercises with their IDs, which you need for get_exercise_details. Search for specific exercises in the YMovE database
search_foods
Search the food database for nutritional values
search_recipes
g. vegan, keto), or maximum calories. Search for recipes based on diet or calories
Example Prompts for YMovE Fitness in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with YMovE Fitness immediately.
"Generate a 30-minute chest and triceps workout using only dumbbells."
"Create a 2500 calorie vegan meal plan for today."
"What are the macros for a generic banana?"
Troubleshooting YMovE Fitness MCP Server with Vercel AI SDK
Common issues when connecting YMovE Fitness to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpYMovE Fitness + Vercel AI SDK FAQ
Common questions about integrating YMovE Fitness 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 YMovE Fitness with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 YMovE Fitness to Vercel AI SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.