How to Use the Mariana Tek MCP in LangChain

Q: Can I use LangChain to verify if a member has active Mariana Tek reservations?

Yes, you can chain searchcustomers to find the user ID and then pipe it into listreservations. It gives you a clear view of their upcoming studio visits.

Chain your fitness operations in LangChain. Connect Mariana Tek tools to build multi-step reasoning pipelines for your studio.

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Connect Mariana Tek MCP to LangChain

Create your Vinkius account to connect Mariana Tek to LangChain 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 LangChain

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Automate class scheduling pipelines

Connect `list_classes` and `list_instructors` to your chain to build automated scheduling logic. You can trigger these tools sequentially to verify staff availability before finalizing a shift update. LangSmith tracing gives you full visibility into every step. You see exactly how the agent processes tool outputs to maintain your studio schedule.

Build intelligent customer lookup chains

Your agent uses `search_customers` to pull profiles and immediately passes that ID to `list_reservations`. This creates a direct path from a name to their current booking status. Chaining these calls prevents manual errors. The agent handles the data flow, ensuring the output from your first query dictates the input for the next.

Manage membership tiers programmatically

Fetch live pricing and status using `list_memberships` and `list_pricing` within your LangGraph workflow. You can build logic that compares plan benefits against customer history. This MCP Server allows you to define complex decision trees. The agent evaluates the data in real-time, helping you offer the right package to the right client.

Setup guide

Set up Mariana Tek MCP in LangChain

Prerequisites

Python 3.10+ installed
langchain-mcp-adapters + langgraph packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install langchain-mcp-adapters langgraph langchain-openai. The MCP adapters package converts MCP tools into native LangChain BaseTool objects.
2

Connect via HTTP transport
Use MultiServerMCPClient with "transport": "http" pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create a ReAct agent
Pass the discovered tools to create_react_agent() from LangGraph. The agent automatically routes Mariana Tek tool calls through the MCP protocol.
4

Run with any LLM
Swap ChatOpenAI for ChatAnthropic, ChatGoogleGenerativeAI, or any LangChain-compatible model. The MCP tools work identically across all providers.

agent.py

from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent
from langchain_openai import ChatOpenAI

async with MultiServerMCPClient({
    "mariana-tek-mcp": {
        "transport": "http",
        "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    }
}) as client:
    tools = client.get_tools()

    agent = create_react_agent(
        ChatOpenAI(model="gpt-4o"),
        tools,
    )
    result = await agent.ainvoke({
        "messages": "List recent Mariana Tek transactions"
    })
    print(result["messages"][-1].content)

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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 LangChain

LangChain treats every Mariana Tek function as a distinct tool. The framework maps these functions into its agent architecture, allowing your logic to execute them on demand.

Yes, you can chain `search_customers` to find the user ID and then pipe it into `list_reservations`. It gives you a clear view of their upcoming studio visits.

Your integration uses an endpoint token for every request. Vinkius manages the secure connection, ensuring your studio data stays isolated within your specific agent session.

It does. You can combine this server with others to create a broader operational dashboard for your boutique business.

The data is ephemeral. Vinkius clears the session context once your request is satisfied, leaving no trace of sensitive member information in the execution environment.

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