This MCP server for Ticketmaster, developed by Jarad DeLorenzo, provides a robust interface for AI assistants to interact with the Ticketmaster Discovery API. Built with TypeScript and leveraging the Model Context Protocol SDK, it offers tools for searching events, venues, and attractions with flexible filtering options. The implementation focuses on comprehensive data retrieval and formatting, making it easy for AI models to access detailed information about entertainment events. It's particularly useful for tasks like event planning, ticket purchasing assistance, or integrating live entertainment data into AI-driven systems, allowing assistants to query Ticketmaster's extensive database without requiring deep knowledge of the underlying API complexities.
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Highlight AISearch for events, venues, or attractions through the Ticketmaster API. Required parameter: type (string) indicating the type of search ('event', 'venue', or 'attraction'). Optional parameters include keyword (search term), startDate (YYYY-MM-DD for events), endDate (YYYY-MM-DD for events), city (city name), stateCode (state code), countryCode (country code), venueId (specific venue ID), attractionId (specific attraction ID), classificationName (event category), and format (output format, 'json' or 'text', defaults to 'json').
