How to Use the Virtuagym MCP in Pydantic AI

Q: How do I check a member's full history using Virtuagym and Pydantic AI?

Execute searchmembers. Since the response is validated by Pydantic, you get confidence that the returned profile, membership status, and fitness progress are structured correctly. It’s reliable.

Q: Can I list all available classes with Virtuagym and Pydantic AI?

Yes, use listactivities. The type-safe nature ensures that even if the underlying API changes slightly, your agent catches it instantly with a validation error. That's how you avoid bugs.

Q: Does Virtuagym and Pydantic AI support multiple service listings?

Totally. You can call listmemberships for plans, then follow up with listnutritionplans. The agent handles both calls while guaranteeing the data structure of each result set.

Guarantee correctness with Pydantic AI. Build reliable Virtuagym agents that validate every API response.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Virtuagym MCP to Pydantic AI

Create your Vinkius account to connect Virtuagym 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 Virtuagym with Pydantic AI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Validate Member Profiles via MCP Server

When your agent calls `get_member`, the response is immediately validated against a Pydantic model. If the returned data structure is wrong, the agent fails loudly—no silent corruption. Similarly, running `search_members` ensures that all returned profile fields (membership, history) conform to expected types.

Check Club Services with Pydantic AI

You can list events and classes by calling `list_events`. The type safety means you know exactly what structure the data will have, whether it's a description or duration. The framework also validates results from `list_activities` every time. It ensures that your agent is always working with clean, expected data.

Manage Plans and Trainers with Pydantic AI

Working with structured plans? Calling `list_workout_plans` or `list_nutrition_plans` guarantees the output fields are correct. This is crucial when passing complex service details to other systems. The system validates trainer data via `list_trainers`, so you always know exactly what information about staff members you're receiving.

Setup guide

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

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

result = await agent.run("List recent Virtuagym 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 Virtuagym. 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 Virtuagym 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 Virtuagym MCP in Pydantic AI

Execute `search_members`. Since the response is validated by Pydantic, you get confidence that the returned profile, membership status, and fitness progress are structured correctly. It’s reliable.

Yes, use `list_activities`. The type-safe nature ensures that even if the underlying API changes slightly, your agent catches it instantly with a validation error. That's how you avoid bugs.

The core operational data—like member profiles, membership status, workout plans, and club info—are validated against strict schemas. This guarantees the correctness of every single field returned.

Totally. You can call `list_memberships` for plans, then follow up with `list_nutrition_plans`. The agent handles both calls while guaranteeing the data structure of each result set.

The server touches member profiles, including fitness progress details and check-in history. Pydantic validation makes sure that even when handling this sensitive user data, the structure remains predictable.

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