How to Use the ClubReady MCP in Pydantic AI

Q: How do I configure the ClubReady MCP Server in Pydantic AI?

Install the package with pip install "pydantic-ai-slimmcp" and initialize MCPToolset with your Vinkius HTTP URL. Pass this toolset instance to your agent's toolsets argument.

Q: How do I fetch active membership pricing models?

Your agent calls listmembershipplans to pull active fees and billing frequencies. The output is parsed directly into type-safe models for easy comparison.

Build type-safe gym management integrations with Pydantic AI and the ClubReady MCP Server.

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Connect ClubReady MCP to Pydantic AI

Create your Vinkius account to connect ClubReady 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.

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Setup ClubReady with Pydantic AI

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Perplexity

Type-Safe Gym Check-Ins with Pydantic AI

The `do_check_in` tool records member visits and triggers door access, returning a strictly typed validation status. Pydantic AI validates the check-in response schema at runtime to prevent malformed payloads from breaking your physical access control. If the API returns unexpected data, the framework raises a validation error immediately. The agent can also query `list_check_ins` safely, knowing the output format matches your Python schemas.

Strict Billing Status Validation

The `get_member_billing` tool retrieves financial records for collections and account reviews. Pydantic AI enforces type checks on fields like outstanding balances and billing dates, ensuring your agent never processes corrupt data. This prevents silent failures when your agent evaluates member standing. The agent uses `get_member` to pull the profile details and matches them against the validated billing model.

Reliable Class Roster Queries

The `list_class_roster` tool provides the current attendance list and waitlist positions for gym classes. Your Pydantic AI agent parses this structured data to ensure correct integer values for waitlist positions. The agent verifies schedule availability by querying `list_schedule` for date ranges. Because this MCP Server uses strict schemas, your agent can safely automate booking notifications.

Setup guide

Set up ClubReady 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": {
        "clubready-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

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Common questions about ClubReady MCP in Pydantic AI

Install the package with `pip install "pydantic-ai-slim[mcp]"` and initialize `MCPToolset` with your Vinkius HTTP URL. Pass this toolset instance to your agent's `toolsets` argument.

Pydantic AI will raise a validation error at runtime. This prevents your agent from acting on corrupt member profiles or invalid billing statuses, ensuring strict data integrity.

Yes, Pydantic AI is model-agnostic. You can run the ClubReady MCP tools with local models, OpenAI, or Anthropic, as long as the model supports tool calling.

Your agent calls `list_membership_plans` to pull active fees and billing frequencies. The output is parsed directly into type-safe models for easy comparison.

All transactions run through a zero-trust V8 isolate sandbox managed by the Vinkius MCP host. Your sensitive check-in logs and financial records are decrypted in memory, processed, and immediately purged, leaving zero persistent footprint.

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