How do I get Glofox API access?

Contact Glofox support or your account manager to request API access. You'll receive an API Key and Branch ID for your location.

Does this integration also cover ABC Fitness Solutions / ClubReady endpoints?

While Glofox is part of ABC Fitness Solutions, this specific MCP Server connects directly to the Glofox Developer API endpoints. Other ABC platforms may require their respective integration servers.

Can I process refunds or payments through natural language?

You can track and query payment statuses, memberships, and transaction histories, but full payment processing usually depends on the specific payment gateway integration configured within your Glofox account.

Glofox MCP Server for LlamaIndex 8 tools — connect in under 2 minutes

Name: Glofox
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 8 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Glofox as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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

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 Glofox. "
            "You have 8 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Glofox?"
    )
    print(response)

asyncio.run(main())

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About Glofox MCP Server

Connect your Glofox gym or studio to any AI agent and manage your fitness business through natural conversation.

LlamaIndex agents combine Glofox tool responses with indexed documents for comprehensive, grounded answers. Connect 8 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 and view member profiles, membership status, and attendance
Classes — Browse scheduled group classes with capacity and trainer info
Courses — Monitor multi-week programs, challenges, and bootcamps
Trainers — List coaches with specialties and certifications
Bookings — Track class reservations, check-ins, and waitlists
Memberships — View all plans: basic, premium, VIP, student, corporate
Purchases — Track member spending on memberships, PT, and retail

The Glofox MCP Server exposes 8 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 Glofox to LlamaIndex via MCP

Follow these steps to integrate the Glofox 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 8 tools from Glofox

Why Use LlamaIndex with the Glofox MCP Server

LlamaIndex provides unique advantages when paired with Glofox through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Glofox tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Glofox tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Glofox, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Glofox tools were called, what data was returned, and how it influenced the final answer

Glofox + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Glofox MCP Server delivers measurable value.

Hybrid search: combine Glofox real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Glofox 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 Glofox for fresh data

Analytical workflows: chain Glofox queries with LlamaIndex's data connectors to build multi-source analytical reports

Glofox MCP Tools for LlamaIndex (8)

These 8 tools become available when you connect Glofox to LlamaIndex via MCP:

get_member

Get member details

list_bookings

Shows who booked which class, check-in status, and waitlist. List class bookings

list_classes

Filter by date to see a specific day. List scheduled classes

list_courses

Shows sessions, pricing, and enrollment. List multi-week courses

list_memberships

Includes pricing, access hours, and perks. List membership plans

list_purchases

Filter by member for individual spending. List member purchases

list_trainers

List trainers and coaches

search_members

Returns profile, membership status, check-in history, and account balance. The core CRM of your gym. Search gym members

Example Prompts for Glofox in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Glofox immediately.

"How many active members do we have?"

"Who is teaching the HIIT bootcamp tomorrow morning?"

"Show me all overdue payments for this week."

Troubleshooting Glofox MCP Server with LlamaIndex

Common issues when connecting Glofox to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Glofox + LlamaIndex FAQ

Common questions about integrating Glofox MCP Server with LlamaIndex.

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.

Can I combine MCP tools with vector stores?

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