Ticketmaster MCP Server is an MCP server that provides tools to search for events, venues, and attractions using the Ticketmaster Discovery API. It enables AI assistants to access Ticketmaster's extensive database for real-time event discovery. The server implements the Model Context Protocol with @modelcontextprotocol/sdk over a streamable HTTP transport powered by an Express-based web server. The project comprises a server component that handles MCP requests, a dedicated Ticketmaster API client, and a client example showing how to invoke MCP tools from an AI workflow. Available tools include search_ticketmaster, supporting type-based queries for event, venue, or attraction searches with optional filters such as keyword, startDate, endDate, city, stateCode, countryCode, venueId, attractionId, and classificationName. The architecture emphasizes TypeScript typing, comprehensive error handling, and per-request API key handling (no server env vars required). Docker deployment is supported, and smithery.yaml enables MCP runtime configuration. The README also documents tool schemas, example usage, and how to pair the server with an AI model like Google Gemini for natural language queries.