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How to Use the Virtuagym MCP in OpenAI Agents SDK

Build robust gym operations with OpenAI Agents SDK. Manage Virtuagym members and services reliably.

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OpenAI Agents SDK

Connect Virtuagym MCP to OpenAI Agents SDK

Create your Vinkius account to connect Virtuagym 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.

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Manage Member Profiles via MCP Server

Agents pull detailed member information using the `get_member` tool. You get a full profile, including check-in history and fitness progress, all in one go. This makes it simple to look up a user's status without multiple database calls. The guardrails ensure that any attempted action on member data is validated before running.

Handle Gym Operations with OpenAI Agents SDK

You can list all active events and classes using `list_events`. This tool gives a quick overview of what's happening at the club this week. Need to know about membership options? Just call `list_memberships` and your agent handles the rest. It keeps the whole process contained and traceable in the OpenAI dashboard.

Plan Training Programs with MCP Server

The system lets you pull structured data for training by using tools like `list_workout_plans` and `list_nutrition_plans`. These functions structure complex service offerings. By calling `list_trainers`, your agent knows who's on staff and what qualifications they bring. This makes assigning members to the right coach straightforward.

Setup guide

Set up Virtuagym MCP in OpenAI Agents SDK

Prerequisites

  • Python 3.10+ installed
  • openai-agents package (pip install openai-agents)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install the SDK

    Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.

  2. 2

    Connect via SSE transport

    Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Virtuagym tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives Virtuagym tools as native definitions — JSON schemas resolve automatically.

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Virtuagym tools and returns structured results. Copy the full example on the right to get started.

agent.py
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="Virtuagym Agent",
            instructions="You have access to Virtuagym 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 Virtuagym. 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 Virtuagym MCP in OpenAI Agents SDK

Use the `search_members` tool. It returns not just the profile, but also their membership status and complete check-in records. You get a comprehensive view of everything they've done while at your club.
Absolutely. The `list_activities` tool returns the full schedule, providing both descriptions and how long each activity runs. It's perfect for generating weekly class schedules.
This MCP Server handles member profiles, membership plans, workout programs, and club operational details. The core data type managed is the complete member record.
Yes. You can call `list_memberships` to see plans, then use `list_nutrition_plans` for dietary options, all through the same agent flow. It keeps your process clean.
The server touches member profiles, which contain personal fitness progress and check-in history. The built-in guardrails help validate actions before they hit this sensitive user data.

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