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 LangChain?
LangChain's ecosystem of 500+ components combines seamlessly with Hipsy through native MCP adapters. Connect 16 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
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The largest ecosystem of integrations, chains, and agents. combine Hipsy MCP tools with 500+ LangChain components
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Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
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LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
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Memory and conversation persistence let agents maintain context across Hipsy queries for multi-turn workflows
Hipsy in LangChain
Hipsy and 4,000+ other MCP servers. One platform. One governance layer.
Teams that connect Hipsy to LangChain 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 LangChain
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 LangChain 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 LangChain
Every tool call from LangChain 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 LangChain connect to MCP servers?
Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.
Which LangChain agent types work with MCP?
All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.
Can I trace MCP tool calls in LangSmith?
Yes. All MCP tool invocations appear as traced steps in LangSmith, showing input parameters, response payloads, latency, and token usage.
MultiServerMCPClient not found
Install: pip install langchain-mcp-adapters
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