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How to Use the Humanitix MCP in Pydantic AI

Run type-safe event operations with Pydantic AI and Humanitix integration.

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Pydantic AI

Connect Humanitix MCP to Pydantic AI

Create your Vinkius account to connect Humanitix 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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Validate ticket orders with Pydantic AI

The `list_orders` tool retrieves ticket transactions so your Pydantic AI agent can validate every price and currency against strict Python models. Preventing malformed API responses from corrupting your financial reporting is easy when you validate every price, currency, and discount code at runtime.

Parse clean guest lists using the Humanitix MCP Server

The `list_attendees` tool fetches guest profiles to ensure your Pydantic AI door agent has clean, verified check-in data. Ensuring your door staff has accurate data is straightforward when the agent maps every guest profile to a strict schema containing a valid ticket code.

Verify venue and host details without silent failures

The `list_venues` tool extracts physical location data so your Pydantic AI agent can verify capacities and addresses before booking. Keeping your logistics database clean is simple when your agent pulls host and location profiles to ensure addresses and capacities match your internal schemas.

Setup guide

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

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

result = await agent.run("List recent Humanitix 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 Humanitix. 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

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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 Humanitix MCP in Pydantic AI

Install `pydantic-ai-slim[mcp]` and initialize `MCPToolset` with your Vinkius HTTP URL. Pass this toolset directly into the `toolsets` parameter of your Agent constructor to expose tools like `list_events`.
The agent will fail loudly and raise a validation error instead of guessing or hallucinating. This ensures your code never processes corrupt ticketing data from `list_orders` or `list_tickets`.
Yes, Pydantic AI is model-agnostic. You can use your Vinkius-hosted Humanitix MCP tools with local models, OpenAI, Gemini, or Anthropic while maintaining strict schema validation on all inputs and outputs.
Your agent can safely loop through paginated results from `list_attendees` by validating each page's schema. Pydantic AI ensures that pagination tokens and record arrays conform to your defined Python models.
Absolutely. Your attendee lists and ticket buyer details are processed in zero-trust, ephemeral V8 isolates on Vinkius. This secure MCP setup validates the data locally in your environment, meaning sensitive order records are never stored or exposed.

Start using the Humanitix MCP today

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