How to Use the Mariana Tek MCP in LlamaIndex

Q: Will LlamaIndex accurately reflect current Mariana Tek class schedules?

It will, provided you refresh your index with the latest listclasses output. This keeps your agent's knowledge grounded in the most recent studio updates.

Q: Can LlamaIndex help me find Mariana Tek customer history?

Yes, by indexing the results of searchcustomers and listreservations. You can then ask natural language questions about specific member engagement.

Index your fitness data with LlamaIndex. Ground your studio's AI in live Mariana Tek records for accurate, source-verified answers.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Mariana Tek MCP to LlamaIndex

Create your Vinkius account to connect Mariana Tek to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Mariana Tek with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Create a searchable knowledge base

Use `list_class_types` and `list_locations` to feed your vector store. LlamaIndex indexes this information so your agent can query studio details with high semantic accuracy. This approach stops hallucinations by keeping the agent focused on your actual API data. You get answers based on current availability, not guesswork.

Ground customer support in real-time data

Connect `get_customer` and `list_memberships` to your RAG pipeline. When a staff member asks about a client, the agent retrieves the exact profile data from the server. This creates a unified view of your members. The system pulls the latest status directly from Mariana Tek, ensuring your team always has the correct information.

Query past class data for insights

Run `list_classes` to populate your index with session history. You can then perform semantic searches to identify trends in class popularity or instructor performance. This adds a layer of depth to your reporting. By grounding the model in raw API results, you ensure that every insight is backed by hard data.

Setup guide

Set up Mariana Tek MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all Mariana Tek MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to Mariana Tek tools.",
)
response = await agent.run("List recent Mariana Tek data")

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Mariana Tek now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Mariana Tek MCP in LlamaIndex

You use the McpToolSpec to call the API tools and pass the output into your vector store. It turns dynamic API responses into queryable knowledge.

It will, provided you refresh your index with the latest `list_classes` output. This keeps your agent's knowledge grounded in the most recent studio updates.

Yes, by indexing the results of `search_customers` and `list_reservations`. You can then ask natural language questions about specific member engagement.

The connection is established via a secure endpoint token. Vinkius handles the underlying transport, keeping your studio's data access point isolated and safe.

The data resides in your local index. Vinkius ensures that only authorized calls to the server can retrieve member details, keeping your private information strictly contained.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript