How to Use the WellnessLiving MCP in Pydantic AI

Q: How does Pydantic AI handle reporting in WellnessLiving?

It uses getreport. This tool provides structured access to attendance, revenue, and retention metrics. The validation layer ensures that the report data you receive is consistently formatted for your agent's use.

Q: Can I check client profiles using Pydantic AI in WellnessLiving?

Yes. Use getclient or searchclients. The core benefit here is type safety; you get a validated object containing the profile data, meaning your code won't crash on unexpected fields.

Q: What if I need to list staff members using Pydantic AI with WellnessLiving?

Simply call liststaff. The resulting data is a validated list of objects. Your agent can then reliably process names, roles, and contact information without needing manual cleanup.

Get type-safe studio automation with Pydantic AI for WellnessLiving operations.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect WellnessLiving MCP to Pydantic AI

Create your Vinkius account to connect WellnessLiving to Pydantic AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup WellnessLiving with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Accessing WellnessLiving Business Data

Need to know general business parameters? The `get_business_info` tool provides a clean, validated snapshot of your studio's core data. With Pydantic AI, you never worry about unexpected JSON fields breaking the agent. Every single response is checked against a strict schema. If the API sends bad data, your agent fails loudly, telling you exactly what went wrong.

Searching and Managing MCP Server Clients

The `search_clients` tool pulls client profiles, memberships, and visit history. Because of Pydantic validation, you know the exact structure of this data every time—which is huge for reliable production agents. Your AI client calls this toolset and receives guaranteed correct outputs, eliminating hallucinated or corrupted fields.

Listing Class Schedules with MCP Server

The `list_schedule` function gives you a structured list of classes. You can pull everything from the service types (`list_services`) to staff assignments. This is perfect for building reliable booking flows. Since Pydantic validates the output, you trust that the schedule data—like start times and instructor names—is exactly what you expect.

Setup guide

Set up WellnessLiving MCP in Pydantic AI

Prerequisites

Python 3.10+ installed
pydantic-ai-slim[fastmcp] package
Active Vinkius subscription with a valid endpoint token

1

Install Pydantic AI with FastMCP
Run pip install "pydantic-ai-slim[fastmcp]". The FastMCP toolset replaces the deprecated MCPServerHTTP class with full protocol support.
2

Configure the FastMCPToolset
Pass a JSON-style config dict to FastMCPToolset with your Vinkius URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports Streamable HTTP, SSE, and Stdio transports.
3

Create and run your agent
Pass the toolset to Agent(toolsets=[toolset]) and call agent.run(). Swap openai:gpt-4o for any supported model — Anthropic, Google, Mistral, or Groq.

agent.py

from pydantic_ai import Agent
from pydantic_ai.toolsets.fastmcp import FastMCPToolset

toolset = FastMCPToolset({
    "mcpServers": {
        "wellnessliving-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

agent = Agent(
    "openai:gpt-4o",
    toolsets=[toolset],
    system_prompt="You have access to WellnessLiving tools.",
)

result = await agent.run("List recent WellnessLiving transactions")
print(result.output)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by WellnessLiving. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect WellnessLiving now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about WellnessLiving MCP in Pydantic AI

It uses `get_report`. This tool provides structured access to attendance, revenue, and retention metrics. The validation layer ensures that the report data you receive is consistently formatted for your agent's use.

Yes. Use `get_client` or `search_clients`. The core benefit here is type safety; you get a validated object containing the profile data, meaning your code won't crash on unexpected fields.

Simply call `list_staff`. The resulting data is a validated list of objects. Your agent can then reliably process names, roles, and contact information without needing manual cleanup.

Yes. Its primary function is ensuring correctness. If the underlying MCP Server returns malformed or unexpected data structures, Pydantic fails the agent *before* it processes bad information.

The server touches operational and financial metrics—specifically revenue figures, attendance counts, and retention rates. The `get_report` tool ensures this sensitive business intelligence arrives in a predictable structure.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript