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Mariana Tek MCP Server for LangChain 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Mariana Tek through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Vinkius supports streamable HTTP and SSE.

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

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "mariana-tek": {
            "transport": "streamable_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,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Mariana Tek, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())
Mariana Tek
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Mariana Tek MCP Server

Connect your Mariana Tek studio to any AI agent and manage your premium boutique fitness business through natural conversation.

LangChain's ecosystem of 500+ components combines seamlessly with Mariana Tek through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

What you can do

  • Classes — View scheduled sessions, class types, capacity, and waitlists
  • Instructors — List star instructors with bios, specialties, and schedules
  • Members — Search customers, view credits, attendance streaks, and engagement
  • Reservations — Track bookings, spot assignments, and check-in status
  • Memberships — Browse unlimited plans, class packs, and corporate packages
  • Pricing — View all pricing tiers and promotional offers
  • Locations — Manage multiple studio locations and room configurations

The Mariana Tek MCP Server exposes 10 tools through the Vinkius. Connect it to LangChain in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Mariana Tek to LangChain via MCP

Follow these steps to integrate the Mariana Tek MCP Server with LangChain.

01

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the agent

Save the code and run python agent.py

04

Explore tools

The agent discovers 10 tools from Mariana Tek via MCP

Why Use LangChain with the Mariana Tek MCP Server

LangChain provides unique advantages when paired with Mariana Tek through the Model Context Protocol.

01

The largest ecosystem of integrations, chains, and agents. combine Mariana Tek MCP tools with 500+ LangChain components

02

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

03

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

04

Memory and conversation persistence let agents maintain context across Mariana Tek queries for multi-turn workflows

Mariana Tek + LangChain Use Cases

Practical scenarios where LangChain combined with the Mariana Tek MCP Server delivers measurable value.

01

RAG with live data: combine Mariana Tek tool results with vector store retrievals for answers grounded in both real-time and historical data

02

Autonomous research agents: LangChain agents query Mariana Tek, synthesize findings, and generate comprehensive research reports

03

Multi-tool orchestration: chain Mariana Tek tools with web scrapers, databases, and calculators in a single agent run

04

Production monitoring: use LangSmith to trace every Mariana Tek tool call, measure latency, and optimize your agent's performance

Mariana Tek MCP Tools for LangChain (10)

These 10 tools become available when you connect Mariana Tek to LangChain via MCP:

01

get_class_detail

Get full class session details

02

get_customer

Get member profile

03

list_class_types

Includes description, duration, and intensity. List class types

04

list_classes

Used by SoulCycle, Barry's, Rumble, and premium boutique studios worldwide. List studio class sessions

05

list_instructors

Boutique fitness revolves around star instructors. List instructors

06

list_locations

List studio locations

07

list_memberships

Shows pricing and terms. List membership plans

08

list_pricing

Includes promotional and corporate rates. List pricing options

09

list_reservations

List class reservations

10

search_customers

Returns profile, credits, visit count, and membership status. Search members

Example Prompts for Mariana Tek in LangChain

Ready-to-use prompts you can give your LangChain agent to start working with Mariana Tek immediately.

01

"How full are tomorrow's classes?"

02

"Which instructors had the highest attendance last month?"

03

"Show me the revenue generated by class packs this week."

Troubleshooting Mariana Tek MCP Server with LangChain

Common issues when connecting Mariana Tek to LangChain through the Vinkius, and how to resolve them.

01

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Mariana Tek + LangChain FAQ

Common questions about integrating Mariana Tek MCP Server with LangChain.

01

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
02

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
03

Can I trace MCP tool calls in LangSmith?

Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.

Connect Mariana Tek to LangChain

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.