ClubReady MCP Server for LlamaIndex 11 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add ClubReady as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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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 ClubReady. "
"You have 11 tools available."
),
)
response = await agent.run(
"What tools are available in ClubReady?"
)
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 ClubReady MCP Server
Connect your ClubReady (ABC Fitness) gym to any AI agent and manage your fitness facility through natural conversation.
LlamaIndex agents combine ClubReady tool responses with indexed documents for comprehensive, grounded answers. Connect 11 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
- Members — Search by name, email, barcode, or phone. View profiles and membership status
- Check-ins — Track daily check-ins, validate memberships, and trigger door access
- Billing — Check balances, payment status, past-due amounts, and auto-pay settings
- Classes — View group fitness schedule, capacity, and instructor assignments
- Rosters — List members registered for specific classes with check-in status
- Prospects — Manage sales pipeline: leads, sources, and assigned salespeople
- Staff — List trainers, front desk, and managers with roles and certifications
- Membership Plans — Browse all tiers: monthly, annual, student, family, corporate
The ClubReady MCP Server exposes 11 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 ClubReady to LlamaIndex via MCP
Follow these steps to integrate the ClubReady 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 11 tools from ClubReady
Why Use LlamaIndex with the ClubReady MCP Server
LlamaIndex provides unique advantages when paired with ClubReady through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine ClubReady tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain ClubReady tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query ClubReady, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what ClubReady tools were called, what data was returned, and how it influenced the final answer
ClubReady + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the ClubReady MCP Server delivers measurable value.
Hybrid search: combine ClubReady real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query ClubReady 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 ClubReady for fresh data
Analytical workflows: chain ClubReady queries with LlamaIndex's data connectors to build multi-source analytical reports
ClubReady MCP Tools for LlamaIndex (11)
These 11 tools become available when you connect ClubReady to LlamaIndex via MCP:
do_check_in
Validates membership status, records the visit, and triggers door access. Returns success/failure with reason. Check in a member
get_member
Get member profile
get_member_billing
Critical for collections. Get member billing status
get_store_info
Get gym location info
list_check_ins
Shows member name, time, barcode scanned, and membership type. Filter by date. List gym check-ins
list_class_roster
Shows check-in status, waitlist position, and membership used. List class roster
list_membership_plans
Includes pricing, billing frequency, and initiation fee. List membership plans
list_prospects
Essential for gym sales teams. List sales prospects
list_schedule
Filter by date range. List class schedule
list_staff
Includes role, certifications, and contact info. List gym staff
search_members
Returns profile, membership status, billing status, and check-in history. Used by 30K+ gym locations. Search gym members
Example Prompts for ClubReady in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with ClubReady immediately.
"Check in member John Smith at the front desk."
"Show me the roster for the 6 PM Advanced Cycling class."
"List all members with past-due billing balances over $50."
Troubleshooting ClubReady MCP Server with LlamaIndex
Common issues when connecting ClubReady to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpClubReady + LlamaIndex FAQ
Common questions about integrating ClubReady 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 ClubReady 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 ClubReady to LlamaIndex
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.