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How to Use the SuperSaaS MCP in Pydantic AI

SuperSaaS | Guarantee Booking Accuracy with Pydantic AI.

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MCP Servers — Included with Plan
Vinkius runs on Pydantic AI

Connect SuperSaaS MCP to Pydantic AI

Create your Vinkius account to connect SuperSaaS to Pydantic AI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Key Capabilities

Modify Appointments Safely

Using `update_appointment` ensures that any changes—like rescheduling or changing a service—are correctly typed and validated. If the API returns bad data, your agent fails loud, stopping silent errors before they happen.

Query Core User & Account Data

You can check user details with `get_user` or verify available credit using `get_account_balance`. Pydantic AI forces the MCP Server to return predictable, validated data structures for these critical checks.

Audit Schedules and Activity

The server exposes tools like `list_schedules` and `list_changes`, letting your agent build an audit trail. Because of Pydantic AI's validation, you know exactly what data fields are coming back when listing changes.

Setup guide

Set up SuperSaaS MCP in Pydantic AI

Prerequisites

  • Python 3.10+ installed
  • pydantic-ai-slim[fastmcp] package
  • Active Vinkius subscription with a valid endpoint token
  1. 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. 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. 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": {
        "supersaas-mcp": {
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
        }
    }
})

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

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by SuperSaaS. 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 SuperSaaS MCP in Pydantic AI

Pydantic AI validates every single response from the MCP Server against defined schemas. This means your agent gets guaranteed, correctly structured data types—no guessing required.
Yes, you can use `list_schedules` to get a full list of setups. The results are validated by Pydantic AI, so your agent always knows the structure of the available schedules.
You use `update_appointment`. If the data needed for the update is missing or wrong, the MCP Server will report a validation failure immediately. That's how you avoid bad bookings.
The `list_account_users` tool retrieves users, but critically, Pydantic AI ensures the resulting list matches your expected data model. It prevents corrupted records from reaching your agent.
The server touches user identity information, including names and email addresses (User Data). The strong typing enforced by Pydantic AI makes handling this personal data highly predictable.

Start using the SuperSaaS MCP today

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