Bring Member Management
to Pydantic AI
Learn how to connect ClubPlanner to Pydantic AI and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the 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.
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.
How it works
1. Subscribe to this server
2. Enter your ClubPlanner API Key (found in your account settings)
3. Start managing your fitness ecosystem from Claude, Cursor, or any MCP client
Who is this for?
- Gym Owners & Managers — quickly check daily check-in volume and member statuses via simple AI commands.
- Front Desk Teams — record member entries and coordinate training appointments directly from the workspace.
- Sales & Admin Teams — monitor prospect pipelines and verify contract availability via the AI assistant.
Built-in capabilities (12)
Schedule a new appointment
Record a new member check-in
Add a new prospect to ClubPlanner
Get club account information
Get details for a specific member
List scheduled appointments
List recent member check-ins
List active membership contracts
List all club members
List available products/memberships
List potential members (prospects) in ClubPlanner
List club staff members
Why Pydantic AI?
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.
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Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your ClubPlanner integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your ClubPlanner connection logic from agent behavior for testable, maintainable code
ClubPlanner in Pydantic AI
ClubPlanner and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect ClubPlanner to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for ClubPlanner in Pydantic AI
The ClubPlanner 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. All 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
ClubPlanner for Pydantic AI
Every tool call from Pydantic AI to the ClubPlanner MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I check how many members are currently in the club?
Yes! Use the list_checkins tool to see recent entry history. Your agent can filter these to show you the active check-ins for today.
How do I schedule a new personal training session for a member?
Use the create_appointment action. Provide the Member ID, the start time in ISO format, and a description (e.g., 'Leg Day with Coach Mike') to book it instantly.
Is it possible to see which contracts are active via AI?
Absolutely. Use the list_contracts query. The agent will retrieve the directory of all active membership agreements currently recorded in your account.
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 ClubPlanner MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
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Update: pip install --upgrade pydantic-ai