How to Use the Mariana Tek MCP in AutoGen

Q: Can AutoGen agents resolve conflicts in Mariana Tek schedules?

They can. By comparing the output of listclasses and listinstructors, the agents can debate and suggest resolutions for double-booked sessions.

Debate your studio operations with AutoGen. Let agents negotiate Mariana Tek data to reach the best decisions for your business.

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Connect Mariana Tek MCP to AutoGen

Create your Vinkius account to connect Mariana Tek to AutoGen 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 AutoGen

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Negotiate class and instructor assignments

Have one agent query `list_classes` while another checks `list_instructors`. They can debate the best staffing plan based on class intensity and instructor availability. This multi-agent approach surfaces potential scheduling conflicts before they happen. The agents resolve these issues through discussion, saving your staff from manual review.

Validate membership status through agent debate

Use an agent to fetch `list_memberships` and another to verify `get_customer` records. They reconcile the data to ensure the client is eligible for a specific promotion. This prevents errors in your pricing strategy. By having agents verify the data against each other, you get a consensus-driven answer that is far more reliable.

Automate operational consensus

Deploy agents to analyze `list_pricing` and `list_class_types` to suggest schedule adjustments. They deliberate on the financial impact of each change. This gives you a system that thinks like a manager. The agents challenge each other's assumptions, ensuring your studio's schedule is optimized for both profit and demand.

Setup guide

Set up Mariana Tek MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Mariana Tek tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Mariana Tek_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Mariana Tek data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Mariana Tek_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Mariana Tek data")
    print(result.messages[-1].content)

Get your connection token →

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 AutoGen

Agents pass tool outputs back and forth within the conversation. The McpToolAdapter automatically converts the Mariana Tek schema so every agent understands the data.

They can. By comparing the output of `list_classes` and `list_instructors`, the agents can debate and suggest resolutions for double-booked sessions.

It requires an endpoint token managed by Vinkius. Once configured, your agents have secure, scoped access to the tools you choose to expose.

All agent interactions are ephemeral. The sensitive member and class data does not persist beyond the active conversation, ensuring your studio details remain secure.

Yes, the schema conversion ensures the agents know exactly how to trigger `search_customers` or `get_class_detail` to get the right information.

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