How to Use the Clubspeed MCP in Pydantic AI

Q: How do I integrate Clubspeed with Pydantic AI?

Install the pydantic-ai-slim package. Create an MCPToolset pointing to the server and add it to your agent's list.

Q: Can I use Pydantic AI to get Clubspeed reservation details?

You can use getreservationdetails to pull specific bookings. The framework ensures the resulting data matches your defined model.

Get type-safe Clubspeed venue management with Pydantic AI.

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Connect Clubspeed MCP to Pydantic AI

Create your Vinkius account to connect Clubspeed 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 Clubspeed with Pydantic AI

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Validate Clubspeed data in Pydantic AI

Every response from `get_clubspeed_account_info` is checked against your models. If the server sends bad data, your agent stops before it can break your logic. This ensures your code remains stable. You catch issues before they affect your production environment.

Manage customer waivers via Pydantic AI

Your agent calls `list_customer_waivers` and verifies the returned objects against your Pydantic schemas. It guarantees you always have valid liability records. This is how you prevent silent failures. You get a clear error if the data doesn't match your expectations.

Query race events with Pydantic AI

Use `list_race_heats` to pull schedule data that your agent parses into typed structures. The `list_venue_activities` tool provides the catalog of available games. Your agent processes these lists with full type safety. It keeps your booking system accurate and predictable.

Setup guide

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

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

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

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Common questions about Clubspeed MCP in Pydantic AI

Install the pydantic-ai-slim package. Create an `MCPToolset` pointing to the server and add it to your agent's list.

Yes, you have access to all eight tools. The framework validates every input and output automatically.

You can use `get_reservation_details` to pull specific bookings. The framework ensures the resulting data matches your defined model.

It provides strict runtime validation. You avoid hallucinated fields and corrupt data in your agent's decision-making process.

The server operates behind a secure Vinkius endpoint. Your agent only sees the specific customer waiver data that you explicitly request.

Use it with your favorite AI tools

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

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