Corsizio 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 Corsizio 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 Corsizio "
"(10 tools)."
),
)
result = await agent.run(
"What tools are available in Corsizio?"
)
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 Corsizio MCP Server
Integrate Corsizio, the streamlined event registration platform, directly into your AI workflow. Manage your classes, workshops, and seminars, track attendee lists, and monitor revenue using natural language.
Pydantic AI validates every Corsizio 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 Management — List and retrieve details for all your upcoming and past events.
- Attendee Tracking — Quickly access registration lists and individual attendee profiles.
- Financial Monitoring — Track payments, refunds, and coupon usage across your events.
- Account Statistics — Get real-time insights into your total registrations and account growth.
The Corsizio 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 Corsizio to Pydantic AI via MCP
Follow these steps to integrate the Corsizio 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 Corsizio with type-safe schemas
Why Use Pydantic AI with the Corsizio MCP Server
Pydantic AI provides unique advantages when paired with Corsizio 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 Corsizio integration code
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
Dependency injection system cleanly separates your Corsizio connection logic from agent behavior for testable, maintainable code
Corsizio + Pydantic AI Use Cases
Practical scenarios where Pydantic AI combined with the Corsizio MCP Server delivers measurable value.
Type-safe data pipelines: query Corsizio with guaranteed response schemas, feeding validated data into downstream processing
API orchestration: chain multiple Corsizio tool calls with Pydantic validation at each step to ensure data integrity end-to-end
Production monitoring: build validated alert agents that query Corsizio and output structured, schema-compliant notifications
Testing and QA: use Pydantic AI's dependency injection to mock Corsizio responses and write comprehensive agent tests
Corsizio MCP Tools for Pydantic AI (10)
These 10 tools become available when you connect Corsizio to Pydantic AI via MCP:
get_account_stats
Resolves total revenue, registration counts, and event performance metrics. Retrieve high-level statistics for your Corsizio account
get_attendee_details
Touches personal details, payment history, and event enrollment boundaries. Get full registration profile for an attendee
get_event_details
Touches event configuration, pricing, and registration boundary. Get detailed information for a specific event
list_attendees
Resolves attendee name, email, registration date, and payment status. List all registered attendees for a specific event
list_coupons
Resolves code names, discount amounts (percentage or fixed), and expiration constraints. List all discount codes and coupons
list_events
Resolves properties such as event ID, name, date, time, and current registration status. List all events in your Corsizio account
list_instructors
Resolves instructor names, contact info, and associated specialties. List all instructors or teachers
list_locations
Resolves location names, addresses, and capacity limits. List physical or online locations for events
list_payments
Resolves payment IDs, amounts, currencies, and associated event/attendee references. List all payment transactions
list_refunds
Resolves refund amount, original transaction reference, and processing date. List all processed refunds
Example Prompts for Corsizio in Pydantic AI
Ready-to-use prompts you can give your Pydantic AI agent to start working with Corsizio immediately.
"List all my upcoming events for the next month."
"How many people are registered for the 'Photography Basics' event?"
"Show me the total revenue generated from registrations this week."
Troubleshooting Corsizio MCP Server with Pydantic AI
Common issues when connecting Corsizio to Pydantic AI through the Vinkius, and how to resolve them.
MCPServerHTTP not found
pip install --upgrade pydantic-aiCorsizio + Pydantic AI FAQ
Common questions about integrating Corsizio 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 Corsizio with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
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.
Type-safe agent development for Python with first-class MCP support.
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 Corsizio to Pydantic AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.