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ClubPlanner MCP Server for Pydantic AIGive Pydantic AI instant access to 12 tools to Create Appointment, Create Checkin, Create Prospect, and more

Built by Vinkius GDPR 12 Tools SDK

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

Ask AI about this App Connector for Pydantic AI

The ClubPlanner app connector for Pydantic AI is a standout in the Productivity category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

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 ClubPlanner "
            "(12 tools)."
        ),
    )

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

asyncio.run(main())
ClubPlanner
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 ClubPlanner MCP Server

Connect your ClubPlanner fitness management account to any AI agent and simplify how you coordinate your gym, manage member relationships, and track facility usage through natural conversation.

Pydantic AI validates every ClubPlanner tool response against typed schemas, catching data inconsistencies at build time. Connect 12 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

  • Member & Prospect Management — List active members, track new leads (prospects), and retrieve detailed profile metadata and status.
  • Access Control & Check-ins — Monitor real-time entry history and record new member check-ins at specific locations.
  • Appointment Scheduling — List and create appointments for personal training, sales tours, or consultations directly via AI.
  • Contract Oversight — Query active membership agreements and contracts to monitor renewals and billing cycles.
  • Product Catalog — Browse available membership types and club products to assist with sales inquiries.
  • Staff Directory — List registered employees and staff members to coordinate facility operations.
  • Operational Monitoring — Check your club account metadata and verify API connectivity in real-time.

The ClubPlanner MCP Server exposes 12 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.

All 12 ClubPlanner tools available for Pydantic AI

When Pydantic AI connects to ClubPlanner through Vinkius, your AI agent gets direct access to every tool listed below — spanning member-management, class-booking, facility-management, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_appointment

Schedule a new appointment

create_checkin

Record a new member check-in

create_prospect

Add a new prospect to ClubPlanner

get_me

Get club account information

get_member

Get details for a specific member

list_appointments

List scheduled appointments

list_checkins

List recent member check-ins

list_contracts

List active membership contracts

list_members

List all club members

list_products

List available products/memberships

list_prospects

List potential members (prospects) in ClubPlanner

list_staff

List club staff members

Connect ClubPlanner to Pydantic AI via MCP

Follow these steps to wire ClubPlanner into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install Pydantic AI

Run pip install pydantic-ai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.py and run: python agent.py
04

Explore tools

The agent discovers 12 tools from ClubPlanner with type-safe schemas

Why Use Pydantic AI with the ClubPlanner MCP Server

Pydantic AI provides unique advantages when paired with ClubPlanner through the Model Context Protocol.

01

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

02

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your ClubPlanner integration code

03

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

04

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

ClubPlanner + Pydantic AI Use Cases

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

01

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

02

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

03

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

04

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

Example Prompts for ClubPlanner in Pydantic AI

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

01

"List all active members in my ClubPlanner account."

02

"Record a check-in for member 'mem_10293' at the main facility."

03

"Show me the appointments scheduled for tomorrow."

Troubleshooting ClubPlanner MCP Server with Pydantic AI

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

01

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

ClubPlanner + Pydantic AI FAQ

Common questions about integrating ClubPlanner MCP Server with Pydantic AI.

01

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.
02

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.
03

Can I switch LLM providers without changing MCP code?

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