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 Pydantic AI 8 tools — connect in under 2 minutes

Name: Glofox
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Glofox through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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 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 Glofox "
            "(8 tools)."
        ),
    )

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

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.

Pydantic AI validates every Glofox tool response against typed schemas, catching data inconsistencies at build time. Connect 8 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

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 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 Glofox to Pydantic AI via MCP

Follow these steps to integrate the Glofox 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 8 tools from Glofox with type-safe schemas

Why Use Pydantic AI with the Glofox MCP Server

Pydantic AI provides unique advantages when paired with Glofox 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 Glofox integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Glofox connection logic from agent behavior for testable, maintainable code

Glofox + Pydantic AI Use Cases

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

Type-safe data pipelines: query Glofox with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Glofox tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Glofox and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Glofox responses and write comprehensive agent tests

Glofox MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect Glofox to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Glofox + Pydantic AI FAQ

Common questions about integrating Glofox MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an 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?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Glofox MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.