3,400+ servers built on vurb.ts
Vinkius
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Bring Fitness Marketplace
to LlamaIndex

Learn how to connect ClassPass to LlamaIndex and start using 7 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Get Class DetailGet PerformanceGet Venue InfoList InventoryList LocationsList ReservationsList Schedule
ClassPass

What is the ClassPass MCP Server?

Connect your ClassPass venue to any AI agent and manage your marketplace presence through natural conversation.

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

Who is this for?

  • Studio Partners — Optimize ClassPass revenue and SmartSpot settings
  • Operations — Track daily ClassPass bookings alongside direct reservations
  • Marketing — Monitor venue ratings, reviews, and marketplace visibility
  • Multi-location — Compare ClassPass performance across all locations

Built-in capabilities (7)

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

Why LlamaIndex?

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.

  • 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

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See it in action

ClassPass in LlamaIndex

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

ClassPass and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect ClassPass to LlamaIndex through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for ClassPass in LlamaIndex

The ClassPass 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. All 7 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in LlamaIndex only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

ClassPass
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

The Vinkius Advantage

How Vinkius secures ClassPass for LlamaIndex

Every tool call from LlamaIndex to the ClassPass MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

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.

02

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.

03

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.

04

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

05

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query ClassPass tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.

06

Does LlamaIndex support async MCP calls?

Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.

07

BasicMCPClient not found

Install: pip install llama-index-tools-mcp