How to Use the YMovE Fitness MCP in OpenAI Agents SDK
Build production fitness agents for OpenAI Agents SDK.
Works with every AI agent you already use
…and any MCP-compatible client
Connect YMovE Fitness MCP to OpenAI Agents SDK
Create your Vinkius account to connect YMovE Fitness to OpenAI Agents SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Design Custom Fitness Programs with MCP Server
The `generate_program` tool builds full, multi-week training plans based on your goal. You just pass in 'hypertrophy', 'weight_loss', or 'strength,' and it handles the rest. Want a quick routine for today? Use `generate_workout()` to get a custom single-session workout right away.
Nutritional Planning with YMovE Fitness
Figure out perfect meal plans that hit specific calorie targets using `generate_meal_plan`. It's straightforward: specify the calories, and you get a daily plan. Need to check if a snack fits your diet? Run `get_food_by_barcode` with a UPC/EAN, and it pulls up all the necessary data.
Deep Exercise Database Lookups
`search_exercises` returns matching exercises and their IDs. You then use those IDs in `get_exercise_details` to get complete instructions. Don't know what kind of workout you need? Check out `list_muscle_groups()` or `list_exercise_types()` first; it shows all the options available.
Set up YMovE Fitness MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith your Vinkius endpoint URL. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. The SDK auto-discovers all YMovE Fitness tools at runtime. - 3
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives YMovE Fitness tools as native definitions — JSON schemas resolve automatically. - 4
Run the agent
Call
Runner.run(agent, prompt)to execute. The agent invokes the appropriate YMovE Fitness tools and returns structured results. Copy the full example on the right to get started.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse
async def main():
async with MCPServerSse(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as server:
agent = Agent(
name="YMovE Fitness Agent",
instructions="You have access to YMovE Fitness tools.",
mcp_servers=[server],
)
result = await Runner.run(agent, "List recent transactions")
print(result.final_output)
asyncio.run(main()) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by YMovE Fitness. 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.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about YMovE Fitness MCP in OpenAI Agents SDK
Use it with your favorite AI tools
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