ClassPass MCP Server for LangChain 7 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect ClassPass through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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({
"classpass": {
"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 ClassPass, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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.
LangChain's ecosystem of 500+ components combines seamlessly with ClassPass through native MCP adapters. Connect 7 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
- 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 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 ClassPass to LangChain via MCP
Follow these steps to integrate the ClassPass MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 7 tools from ClassPass via MCP
Why Use LangChain with the ClassPass MCP Server
LangChain provides unique advantages when paired with ClassPass through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents. combine ClassPass MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across ClassPass queries for multi-turn workflows
ClassPass + LangChain Use Cases
Practical scenarios where LangChain combined with the ClassPass MCP Server delivers measurable value.
RAG with live data: combine ClassPass tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query ClassPass, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain ClassPass tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every ClassPass tool call, measure latency, and optimize your agent's performance
ClassPass MCP Tools for LangChain (7)
These 7 tools become available when you connect ClassPass to LangChain 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 LangChain
Ready-to-use prompts you can give your LangChain 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 LangChain
Common issues when connecting ClassPass to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersClassPass + LangChain FAQ
Common questions about integrating ClassPass MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
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 LangChain
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.