How to Use the Eventtia MCP in Pydantic AI

Q: How do I connect Eventtia to Pydantic AI?

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

Q: Does Pydantic AI validate Eventtia API responses?

Yes. Every response from tools like listeventsessions is validated against your defined Pydantic models. The agent fails loudly if the data structure is wrong.

Q: How do I check Eventtia account limits in Pydantic AI?

Use the geteventtiaaccountmetadata tool. You can define a strict schema for the metadata response to ensure your agent reads the limits accurately.

Integrate Eventtia with Pydantic AI. Build type-safe event management agents that validate every attendee and meeting record at runtime.

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Connect Eventtia MCP to Pydantic AI

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Setup Eventtia with Pydantic AI

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Type-Safe Configurations with Pydantic AI

`get_event_detailed_data` fetches specific event configurations and forces the output through your Pydantic models. If the API returns an unexpected field, Pydantic AI throws a validation error immediately. You configure the Eventtia MCP Server by passing your Vinkius URL to `MCPToolset`. This unified approach replaces the deprecated HTTP server classes, connecting your agent directly to the event data.

Validate B2B Meetings

`list_event_business_meetings` pulls the exact networking schedules for your event. Your agent cross-references these meetings with the output from `list_event_attendees`. Because Pydantic AI is model-agnostic, you run this validation using local models or Anthropic. The agent parses the attendee IDs and meeting times, guaranteeing the data matches your strict schema before saving it.

Verify Performance Metrics

`get_event_performance_stats` retrieves high-level performance metrics for a specific event. The agent uses this alongside `quick_event_engagement_audit` to build a verified performance report. You never deal with silent data corruption. If the engagement audit misses a required metric, the framework fails loudly. The Vinkius endpoint handles the authentication, letting you focus entirely on your schema definitions.

Setup guide

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

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

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

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Common questions about Eventtia MCP in Pydantic AI

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

Yes. Every response from tools like `list_event_sessions` is validated against your defined Pydantic models. The agent fails loudly if the data structure is wrong.

Pydantic AI is completely model-agnostic. You can use local LLMs to process `list_currently_live_events` or `list_all_events` without changing your toolset code.

Use the `get_eventtia_account_metadata` tool. You can define a strict schema for the metadata response to ensure your agent reads the limits accurately.

The integration reads sensitive networking schedules and attendee matches. Vinkius isolates this execution in a temporary environment. Authentication is handled at the network edge, and the sandbox is destroyed the moment the Pydantic validation completes.

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