Mariana Tek MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Mariana Tek as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Mariana Tek. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Mariana Tek?"
)
print(response)
asyncio.run(main())
* 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.
LlamaIndex agents combine Mariana Tek tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Mariana Tek MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Mariana Tek
Why Use LlamaIndex with the Mariana Tek MCP Server
LlamaIndex provides unique advantages when paired with Mariana Tek through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Mariana Tek tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Mariana Tek tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Mariana Tek, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Mariana Tek tools were called, what data was returned, and how it influenced the final answer
Mariana Tek + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Mariana Tek MCP Server delivers measurable value.
Hybrid search: combine Mariana Tek real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Mariana Tek to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Mariana Tek for fresh data
Analytical workflows: chain Mariana Tek queries with LlamaIndex's data connectors to build multi-source analytical reports
Mariana Tek MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Mariana Tek to LlamaIndex via MCP:
get_class_detail
Get full class session details
get_customer
Get member profile
list_class_types
Includes description, duration, and intensity. List class types
list_classes
Used by SoulCycle, Barry's, Rumble, and premium boutique studios worldwide. List studio class sessions
list_instructors
Boutique fitness revolves around star instructors. List instructors
list_locations
List studio locations
list_memberships
Shows pricing and terms. List membership plans
list_pricing
Includes promotional and corporate rates. List pricing options
list_reservations
List class reservations
search_customers
Returns profile, credits, visit count, and membership status. Search members
Example Prompts for Mariana Tek in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Mariana Tek immediately.
"How full are tomorrow's classes?"
"Which instructors had the highest attendance last month?"
"Show me the revenue generated by class packs this week."
Troubleshooting Mariana Tek MCP Server with LlamaIndex
Common issues when connecting Mariana Tek to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpMariana Tek + LlamaIndex FAQ
Common questions about integrating Mariana Tek MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Mariana Tek with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Mariana Tek to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.