Do I need to be a ClassPass partner?

Yes. This server is for ClassPass venue partners. You need a Partner Dashboard account, a Venue ID, and API credentials obtained through your ClassPass partner manager.

Can it change SmartSpot credit allocation algorithms?

Absolutely. You can prompt the AI to review fill rates and apply strategic modifications to the underlying SmartSpot settings for any class type directly.

How exactly are no-shows tracked?

The tool parses check-in flags from the ClassPass partner API in real-time, instantly reporting members who missed their slot without late cancellation.

ClassPass MCP Server for CrewAI 7 tools — connect in under 2 minutes

Name: ClassPass
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 7 Tools Framework

Connect your CrewAI agents to ClassPass through Vinkius, pass the Edge URL in the `mcps` parameter and every ClassPass tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="ClassPass Specialist",
    goal="Help users interact with ClassPass effectively",
    backstory=(
        "You are an expert at leveraging ClassPass tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in ClassPass "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 7 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

When paired with CrewAI, ClassPass becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call ClassPass tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the ClassPass MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 7 tools from ClassPass

Why Use CrewAI with the ClassPass MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with ClassPass through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

ClassPass + CrewAI Use Cases

Practical scenarios where CrewAI combined with the ClassPass MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries ClassPass for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries ClassPass, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain ClassPass tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries ClassPass against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

ClassPass MCP Tools for CrewAI (7)

These 7 tools become available when you connect ClassPass to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

Common issues when connecting ClassPass to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

ClassPass + CrewAI FAQ

Common questions about integrating ClassPass MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.