Eventzilla MCP Server for Pydantic AI 10 tools — connect in under 2 minutes
Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Eventzilla through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
agent = Agent(
model="openai:gpt-4o",
mcp_servers=[server],
system_prompt=(
"You are an assistant with access to Eventzilla "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Eventzilla?"
)
print(result.data)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Eventzilla MCP Server
Integrate Eventzilla, the leading event registration and marketing platform, directly into your AI workflow. Manage your upcoming events and classes, track registered attendees and ticket transactions, monitor performance metrics and discount code usage, and oversee your entire event operation using natural language.
Pydantic AI validates every Eventzilla tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
What you can do
- Event Oversight — List and retrieve detailed information, dates, and status for all your Eventzilla events and webinars.
- Registration Intelligence — Monitor registered attendees, resolving names, emails, and ticket types across your events.
- Financial Management — Access and monitor ticket orders and transactions, tracking gross sales and payment statuses in real-time.
- Event Auditing — Retrieve high-level summaries of registration volume, check-in rates, and organizational event health instantly.
The Eventzilla MCP Server exposes 10 tools through the Vinkius. Connect it to Pydantic AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Eventzilla to Pydantic AI via MCP
Follow these steps to integrate the Eventzilla MCP Server with Pydantic AI.
Install Pydantic AI
Run pip install pydantic-ai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 10 tools from Eventzilla with type-safe schemas
Why Use Pydantic AI with the Eventzilla MCP Server
Pydantic AI provides unique advantages when paired with Eventzilla through the Model Context Protocol.
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Eventzilla integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Eventzilla connection logic from agent behavior for testable, maintainable code
Eventzilla + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Eventzilla MCP Server delivers measurable value.
Type-safe data pipelines: query Eventzilla with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Eventzilla tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Eventzilla and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Eventzilla responses and write comprehensive agent tests
Eventzilla MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Eventzilla to Pydantic AI via MCP:
get_event_detailed_data
Get detailed settings and information for a specific event
get_event_performance_summary
Get a summary of performance metrics for a specific event
get_eventzilla_account_metadata
Retrieve metadata and limits for your Eventzilla account
list_all_events
List all events managed in your Eventzilla account
list_currently_live_events
Identify events that are currently taking place or open for registration
list_event_attendees
List all registered attendees for a specific event
list_event_discount_codes
List all active and inactive discount codes for a specific event
list_event_ticket_orders
List all ticket orders and transactions for a specific event
list_future_scheduled_events
Identify events that are scheduled for a future date
quick_event_volume_audit
Retrieve a high-level summary of attendees and orders
Example Prompts for Eventzilla in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Eventzilla immediately.
"List all active event registrations."
"Show me the attendee list for 'Python Workshop'."
"Check active discount codes for event ID '12345'."
Troubleshooting Eventzilla MCP Server with Pydantic AI
Common issues when connecting Eventzilla to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiEventzilla + Pydantic AI FAQ
Common questions about integrating Eventzilla MCP Server with Pydantic AI.
How does Pydantic AI discover MCP tools?
MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.Does Pydantic AI validate MCP tool responses?
Can I switch LLM providers without changing MCP code?
Connect Eventzilla with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
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TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Eventzilla to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
