Compatible with every major AI agent and IDE
What is the Hipsy MCP Server?
Connect your Hipsy account to any AI agent and manage your event ticketing operations through natural conversation.
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
How it works
- Subscribe to this server
- Enter your Hipsy API Key from your account settings
- Start managing events from Claude, Cursor, or any MCP-compatible client
Who is this for?
- Event Organisers — track ticket sales, monitor check-ins in real time, and review post-event revenue without opening the dashboard
- Venue Managers — monitor attendee flow, scan rates, and capacity utilization
- Finance Teams — audit revenue reports, payment breakdowns, and order histories through AI
Built-in capabilities (16)
Verify connectivity
Get event details
Get event revenue
Get order details
Get organisation details
Get scan statistics
List attendees
List all events
List all orders
List orders by event
List organisations
List past events
List scan entries
List ticket types
List upcoming events
List webhooks
Why Pydantic AI?
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.
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Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
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Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Hipsy integration code
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Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
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Dependency injection system cleanly separates your Hipsy connection logic from agent behavior for testable, maintainable code
Hipsy in Pydantic AI
Hipsy and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Hipsy to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 4,000+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Hipsy in Pydantic AI
The Hipsy 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. All 16 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

* 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
How Vinkius secures
Hipsy for Pydantic AI
Every tool call from Pydantic AI to the Hipsy MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I track ticket sales and revenue for a specific event?
Yes. Use get_event_revenue with an Event ID to retrieve total revenue, ticket sales breakdown by type, and payment method distribution. Use list_orders_by_event to see individual orders with buyer details and amounts. Use list_ticket_types to see pricing and availability per ticket tier.
Can I monitor attendee check-ins in real time?
Yes. Use list_attendees to see all attendees with their check-in status. Use list_scans for individual scan entries with timestamps. Use get_scan_stats for aggregate metrics: total tickets scanned, unique scans, and overall scan rate percentage.
Can I view only upcoming or past events separately?
Yes. Use list_upcoming_events for future events sorted by date, or list_past_events for completed events useful for post-event reporting. Use list_events for all events regardless of date, and get_event for complete details of any specific event.
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.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai
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