How to Use the Mariana Tek MCP in OpenAI Agents SDK

Q: How do I connect Mariana Tek to the OpenAI Agents SDK?

Install openai-agents via pip. Create an MCPServerStreamableHttp instance pointing to your Vinkius endpoint and pass it to the Agent constructor in the mcpservers array.

Q: How does tool discovery work for the Mariana Tek MCP Server integration?

It happens automatically. Set cacheToolsList=True for performance, and the SDK instantly registers all 10 endpoints, including listlocations and searchcustomers.

Q: Is member data private when querying Mariana Tek through an MCP Server?

Yes. When your agent runs getcustomer to pull visit counts and credits, that data stays within your isolated V8 sandbox. Vinkius uses ephemeral zero-trust execution, so session data vanishes instantly.

Build production fitness studio agents with OpenAI Agents SDK. Connect an MCP Server to handle Mariana Tek bookings and member data securely.

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Connect Mariana Tek MCP to OpenAI Agents SDK

Create your Vinkius account to connect Mariana Tek 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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Setup Mariana Tek with OpenAI Agents SDK

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Claude

Perplexity

Studio operations via MCP Server

The server exposes core studio functions to your agent. You call `list_classes` to pull the daily schedule across all locations, then use `list_instructors` to map who teaches what. Your OpenAI Agents SDK setup auto-discovers these endpoints. You define strict guardrails so the agent only reads schedule data before attempting any handoffs to specialized customer service agents.

Trace member profiles and bookings

Fetching member details starts with `search_customers` to find the right profile based on name or email. Once identified, you pass the customer ID into `list_reservations` to see their upcoming studio visits. Every API call routes through the OpenAI dashboard for full tracing. If an agent hallucinates a customer search, you see exactly where the `get_customer` lookup failed in production.

Map pricing and class types

Building a sales agent requires accurate pricing data. The agent executes `list_pricing` to fetch promotional and corporate rates, then cross-references `list_memberships` to check terms. Combine this with `list_class_types` to explain duration and intensity to prospective members. The SDK handles the async context manager automatically, keeping latency low while your agent reads the Mariana Tek catalog.

Setup guide

Set up Mariana Tek 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

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

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 Mariana Tek tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Mariana Tek tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Mariana Tek 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="Mariana Tek Agent",
            instructions="You have access to Mariana Tek tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Mariana Tek. 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 Mariana Tek MCP in OpenAI Agents SDK

Install `openai-agents` via pip. Create an `MCPServerStreamableHttp` instance pointing to your Vinkius endpoint and pass it to the Agent constructor in the `mcp_servers` array.

No. The current tools are strictly read-only. Your agent can pull data using `get_class_detail` or `list_reservations`, but it cannot create or cancel spots.

It happens automatically. Set `cacheToolsList=True` for performance, and the SDK instantly registers all 10 endpoints, including `list_locations` and `search_customers`.

You get built-in guardrails and handoffs. A scheduling agent can check `list_classes`, realize a class is full, and hand the user off to a waitlist specialist agent.

Yes. When your agent runs `get_customer` to pull visit counts and credits, that data stays within your isolated V8 sandbox. Vinkius uses ephemeral zero-trust execution, so session data vanishes instantly.

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