How to Use the Mariana Tek MCP in Pydantic AI

Q: How do I configure Mariana Tek with Pydantic AI?

Install pydantic-ai-slimmcp. Create an MCPToolset pointing to your Vinkius URL and add it to your Agent's toolsets array.

Q: What happens if Mariana Tek returns unexpected data to Pydantic AI?

The framework throws a validation error immediately. If listclasstypes misses a required intensity field, your agent stops rather than hallucinating the missing data.

Q: How do I look up a specific user's reservations?

The agent first runs searchcustomers to grab the exact ID. It then passes that typed ID into listreservations to return the verified booking history.

Q: Is membership pricing data secure when using the MCP Server?

Yes. When your agent pulls corporate rates via listpricing, it connects through a managed proxy. Vinkius handles the authentication layer securely, ensuring your studio's financial data never leaks across sessions.

Type-safe Mariana Tek integration for Pydantic AI. Enforce strict schema validation on every MCP Server response.

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Connect Mariana Tek MCP to Pydantic AI

Create your Vinkius account to connect Mariana Tek 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 Mariana Tek with Pydantic AI

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Type-safe MCP Server operations

The server provides structured access to boutique fitness data. Your agent triggers `list_classes` and `get_class_detail` to pull session times, capacities, and assigned instructors. Pydantic AI validates every single field returned by the API. If a class duration comes back as a string instead of an integer, the framework fails loudly before your app processes corrupted schedule data.

Validate member profiles instantly

Finding a user requires calling `search_customers` to return their base profile. You then feed that customer ID into `list_memberships` and `list_reservations` to audit their account. Because this framework is model-agnostic, you can use Anthropic or local models to parse these visit counts. The strict runtime checks guarantee that active credits always parse correctly, regardless of which LLM handles the logic.

Map studio locations and pricing

Fetching infrastructure data starts with `list_locations` to identify studios. The agent then runs `list_pricing` and `list_instructors` to build a complete operational picture of that specific site. You pass the `MCPToolset` directly into your Agent configuration. This unified approach replaces deprecated HTTP setups, keeping your production pipeline fast and strictly typed.

Setup guide

Set up Mariana Tek 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": {
        "mariana-tek-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Mariana Tek. 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.

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Common questions about Mariana Tek MCP in Pydantic AI

Install `pydantic-ai-slim[mcp]`. Create an `MCPToolset` pointing to your Vinkius URL and add it to your Agent's `toolsets` array.

The framework throws a validation error immediately. If `list_class_types` misses a required intensity field, your agent stops rather than hallucinating the missing data.

Yes. Since the framework is model-agnostic, you can connect the Mariana Tek tools to OpenAI, Gemini, or a local Llama instance running on your machine.

The agent first runs `search_customers` to grab the exact ID. It then passes that typed ID into `list_reservations` to return the verified booking history.

Yes. When your agent pulls corporate rates via `list_pricing`, it connects through a managed proxy. Vinkius handles the authentication layer securely, ensuring your studio's financial data never leaks across sessions.

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