YMovE Fitness MCP Server for OpenAI Agents SDK 12 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect YMovE Fitness through the Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails — no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="YMovE Fitness Assistant",
instructions=(
"You help users interact with YMovE Fitness. "
"You have access to 12 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from YMovE Fitness"
)
print(result.final_output)
asyncio.run(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 OpenAI Agents SDK auto-discovers all 12 tools from YMovE Fitness through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries YMovE Fitness, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.
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 OpenAI Agents 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 OpenAI Agents SDK via MCP
Follow these steps to integrate the YMovE Fitness MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 12 tools from YMovE Fitness
Why Use OpenAI Agents SDK with the YMovE Fitness MCP Server
OpenAI Agents SDK provides unique advantages when paired with YMovE Fitness through the Model Context Protocol.
Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
YMovE Fitness + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the YMovE Fitness MCP Server delivers measurable value.
Automated workflows: build agents that query YMovE Fitness, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents — one queries YMovE Fitness, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through YMovE Fitness tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query YMovE Fitness to resolve tickets, look up records, and update statuses without human intervention
YMovE Fitness MCP Tools for OpenAI Agents SDK (12)
These 12 tools become available when you connect YMovE Fitness to OpenAI Agents 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 OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents 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 OpenAI Agents SDK
Common issues when connecting YMovE Fitness to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
YMovE Fitness + OpenAI Agents SDK FAQ
Common questions about integrating YMovE Fitness MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect YMovE Fitness 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 YMovE Fitness to OpenAI Agents SDK
Get your token, paste the configuration, and start using 12 tools in under 2 minutes. No API key management needed.