ClassPass MCP Server for LlamaIndex 7 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add ClassPass as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
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 ClassPass. "
"You have 7 tools available."
),
)
response = await agent.run(
"What tools are available in ClassPass?"
)
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 ClassPass MCP Server
Connect your ClassPass venue to any AI agent and manage your marketplace presence through natural conversation.
LlamaIndex agents combine ClassPass tool responses with indexed documents for comprehensive, grounded answers. Connect 7 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
- Schedule — View classes published to ClassPass with credit pricing and availability
- Reservations — Track ClassPass bookings, check-ins, and no-shows
- Inventory — Manage SmartSpot allocation and dynamic credit pricing
- Performance — Analyze revenue, fill rates, and partner metrics
- Venue — Access your venue profile, amenities, and ratings
- Locations — Manage multiple physical locations
The ClassPass MCP Server exposes 7 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 ClassPass to LlamaIndex via MCP
Follow these steps to integrate the ClassPass 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 7 tools from ClassPass
Why Use LlamaIndex with the ClassPass MCP Server
LlamaIndex provides unique advantages when paired with ClassPass through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine ClassPass tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain ClassPass tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query ClassPass, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what ClassPass tools were called, what data was returned, and how it influenced the final answer
ClassPass + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the ClassPass MCP Server delivers measurable value.
Hybrid search: combine ClassPass real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query ClassPass 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 ClassPass for fresh data
Analytical workflows: chain ClassPass queries with LlamaIndex's data connectors to build multi-source analytical reports
ClassPass MCP Tools for LlamaIndex (7)
These 7 tools become available when you connect ClassPass to LlamaIndex via MCP:
get_class_detail
Get class details
get_performance
Use date range for period analysis. Get performance analytics
get_venue_info
Get venue profile
list_inventory
List SmartSpot inventory
list_locations
List venue locations
list_reservations
List ClassPass reservations
list_schedule
Filter by date range. List ClassPass schedule
Example Prompts for ClassPass in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with ClassPass immediately.
"How is our ClassPass performance this month?"
"Check total no-shows for yesterday's 6 PM HIIT class."
"Increase the credit pricing for tomorrow's Pilates session to 8 credits."
Troubleshooting ClassPass MCP Server with LlamaIndex
Common issues when connecting ClassPass to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpClassPass + LlamaIndex FAQ
Common questions about integrating ClassPass 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 ClassPass 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 ClassPass to LlamaIndex
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.