Ticket Generator MCP Server

Ticket Generator MCP Server

The Ticket Generator MCP server solves a common pain point for developers building AI‑powered event management solutions: accessing a robust ticketing API without exposing sensitive credentials or writing custom integration code. By acting as an intermediary that conforms to the Model Context Protocol, it lets AI assistants such as Claude or Cursor retrieve ticket details, generate shareable URLs, and send tickets directly to users—all through declarative tool calls. This eliminates the need for developers to embed API keys in client code, streamlines security, and keeps the assistant’s conversation context clean.

At its core, the server exposes a set of high‑level tools that map directly to the Ticket Generator API. For example, fetches ticket metadata, while other tools can generate URLs for sharing or dispatch tickets via email. These tools are wrapped in MCP‑compatible schemas, so an AI agent can invoke them with a single intent. The server handles authentication by forwarding the header supplied in the MCP client configuration, ensuring that each session uses a fresh API key and that credentials are never stored on disk. This stateless, HTTPS‑only design makes it safe to deploy both locally (via ngrok) and in production environments.

Developers benefit from a seamless workflow: after configuring the MCP client with their Ticket Generator API key, an AI assistant can query ticket availability, create personalized event links, and even send tickets to attendees—all within the same conversational thread. Because the server runs in HTTP transport mode, it can be hosted on any platform that supports Node.js, from local development machines to cloud services like AWS or DigitalOcean. The built‑in health check and rate‑limiting options help maintain reliability under load.

Real‑world scenarios include event planners using an AI co‑assistant to draft marketing copy while automatically pulling ticket statistics, or customer support bots that can email tickets directly after a chat interaction. The server’s streaming notification endpoint also enables proactive updates, such as notifying an assistant when a ticket sale reaches a threshold. By abstracting away the API details, developers can focus on crafting richer user experiences rather than managing authentication flows or parsing raw JSON responses.