How is WellnessLiving different from Mindbody?

WellnessLiving offers similar features at a lower price point with no hidden fees. It's particularly popular among martial arts schools, dance studios, and music schools. It also provides a PHP SDK on GitHub for custom development.

WellnessLiving MCP Server for Pydantic AI 9 tools — connect in under 2 minutes

Name: WellnessLiving
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 9 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect WellnessLiving 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 WellnessLiving "
            "(9 tools)."
        ),
    )

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

asyncio.run(main())

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* 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 WellnessLiving MCP Server

Connect your WellnessLiving studio to any AI agent and manage your fitness business through natural conversation.

Pydantic AI validates every WellnessLiving tool response against typed schemas, catching data inconsistencies at build time. Connect 9 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

Schedule — View daily class schedule with instructors, capacity, and enrollment
Clients — Search members, view profiles, credits, and attendance history
Staff — List instructors and trainers with roles and schedules
Memberships — Browse all promotion/membership plans with pricing
Locations — Manage multi-location studios with addresses and hours
Reports — Access business reports: attendance, revenue, retention
Business — View account profile and configuration

The WellnessLiving MCP Server exposes 9 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 WellnessLiving to Pydantic AI via MCP

Follow these steps to integrate the WellnessLiving 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 9 tools from WellnessLiving with type-safe schemas

Why Use Pydantic AI with the WellnessLiving MCP Server

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

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

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

WellnessLiving + Pydantic AI Use Cases

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

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

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

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

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

WellnessLiving MCP Tools for Pydantic AI (9)

These 9 tools become available when you connect WellnessLiving to Pydantic AI via MCP:

get_business_info

Get business info

get_client

Get client profile

get_report

Reports include attendance, revenue, retention metrics. Get business report

list_locations

List business locations

list_memberships

List membership plans

list_schedule

List class schedule

list_services

List class types/services

list_staff

List staff members

search_clients

Returns profile, memberships, and visit history. Search clients/members

Example Prompts for WellnessLiving in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with WellnessLiving immediately.

"Show today's class schedule."

"Check David Chen's attendance history and remaining class credits."

"Generate a summary of yesterday's revenue and attendance for the Uptown studio."

Troubleshooting WellnessLiving MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

WellnessLiving + Pydantic AI FAQ

Common questions about integrating WellnessLiving 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 WellnessLiving MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.