ClassPass MCP Server for Pydantic AI 7 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect ClassPass through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to ClassPass "
"(7 tools)."
),
)
result = await agent.run(
"What tools are available in ClassPass?"
)
print(result.data)
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.
Pydantic AI validates every ClassPass tool response against typed schemas, catching data inconsistencies at build time. Connect 7 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
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 Pydantic AI 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 Pydantic AI via MCP
Follow these steps to integrate the ClassPass MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
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 with type-safe schemas
Why Use Pydantic AI with the ClassPass MCP Server
Pydantic AI provides unique advantages when paired with ClassPass through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your ClassPass integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your ClassPass connection logic from agent behavior for testable, maintainable code
ClassPass + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the ClassPass MCP Server delivers measurable value.
Type-safe data pipelines: query ClassPass with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple ClassPass tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query ClassPass and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock ClassPass responses and write comprehensive agent tests
ClassPass MCP Tools for Pydantic AI (7)
These 7 tools become available when you connect ClassPass to Pydantic AI 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 Pydantic AI
Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI
Common issues when connecting ClassPass to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiClassPass + Pydantic AI FAQ
Common questions about integrating ClassPass MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
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 Pydantic AI
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.