Hipsy MCP Server for Pydantic AIGive Pydantic AI instant access to 16 tools to Check Hipsy Status, Get Event, Get Event Revenue, and more

Name: Hipsy
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Hipsy through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

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The Hipsy MCP Server for Pydantic AI is a standout in the Ecommerce category — giving your AI agent 16 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

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python

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 Hipsy "
            "(16 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Hipsy?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Hipsy MCP Server

Connect your Hipsy account to any AI agent and manage your event ticketing operations through natural conversation.

Pydantic AI validates every Hipsy tool response against typed schemas, catching data inconsistencies at build time. Connect 16 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

Organisation Management — List all event organisations and inspect individual profiles
Event Browsing — List all events, filter upcoming or past events, and inspect full event details with ticket types and sales data
Order Tracking — Browse all ticket orders, filter by event, and inspect individual order details with buyer info and payment status
Ticket Configuration — View all ticket types for an event with pricing and availability
Attendee Management — List all attendees for an event with check-in status
Scan Analytics — Review ticket scan entries and aggregate check-in statistics (total scanned, scan rate)
Revenue Reporting — Retrieve total revenue, ticket sales breakdown, and payment data per event
Webhooks — List all configured webhook endpoints

list

List upcoming events on Hipsy

List upcoming events

list

List webhooks on Hipsy

List webhooks

Connect Hipsy to Pydantic AI via MCP

Follow these steps to wire Hipsy into Pydantic AI. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

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 16 tools from Hipsy with type-safe schemas

Why Use Pydantic AI with the Hipsy MCP Server

Pydantic AI provides unique advantages when paired with Hipsy 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 Hipsy integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Hipsy connection logic from agent behavior for testable, maintainable code

Hipsy + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Hipsy MCP Server delivers measurable value.

Type-safe data pipelines: query Hipsy with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Hipsy tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Hipsy and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Hipsy responses and write comprehensive agent tests

Example Prompts for Hipsy in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with Hipsy immediately.

"Show all upcoming events and the ticket sales for the next one."

"Show the check-in stats for last Saturday's event and any attendees who haven't checked in."

"Show the revenue report for all past events this month."

Troubleshooting Hipsy MCP Server with Pydantic AI

Common issues when connecting Hipsy to Pydantic AI through Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Hipsy + Pydantic AI FAQ

Common questions about integrating Hipsy MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an 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?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Hipsy MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.