Ticketmaster MCP Server Integration

What does “Ticketmaster” MCP Server do?

The Ticketmaster MCP (Model Context Protocol) Server is a tool designed to connect AI assistants with the Ticketmaster Discovery API, enabling seamless integration with external data sources for event-related information. This server allows AI systems and developers to search for events, venues, and attractions using flexible queries, such as keyword searches, date ranges, location filters, and event classifications. By providing both structured JSON and human-readable outputs, the Ticketmaster MCP Server enhances development workflows in applications that require up-to-date event data, streamlined ticket searches, and contextual information for various use cases. It is especially useful for building AI-powered assistants that need to interact with the Ticketmaster ecosystem for tasks such as event discovery, recommendations, and planning.

List of Prompts

No prompt templates are mentioned in the available documentation or code.

List of Resources

No explicit MCP resources are described in the documentation or code.

List of Tools

• search_ticketmaster
  Allows searching for events, venues, or attractions from the Ticketmaster Discovery API.
  • Required parameter:
    • type: Type of search (’event’, ‘venue’, or ‘attraction’)
  • Optional parameters:
    • keyword, startDate, endDate, city, stateCode, countryCode, venueId, attractionId, classificationName, format
  • Output:
    • Structured JSON or human-readable text with details such as names, dates, prices, locations, URLs, images, and classifications.

Use Cases of this MCP Server

• Event Discovery for End Users
  Assistants can help users find concerts, sports events, or cultural performances in a given city or date range.
• Personalized Recommendations
  AI agents can suggest events based on user preferences, location, or favorite categories, improving user engagement.
• Venue Information Retrieval
  Developers can integrate venue lookup features, enabling applications to fetch details about event locations, addresses, and accessibility.
• Travel and Event Planning
  Combine event searches with travel planning, allowing assistants to suggest events happening during a user’s trip.
• Attraction Exploration
  Applications can provide information about attractions, helping users discover new artists, shows, or entertainment options.

How to set it up

Windsurf

1. Ensure Node.js is installed.
2. Obtain a Ticketmaster API key (https://developer.ticketmaster.com/).
3. Locate your Windsurf MCP settings file.
4. Add the Ticketmaster MCP Server configuration:

   {
     "mcpServers": {
       "ticketmaster": {
         "command": "npx",
         "args": ["-y", "@delorenj/mcp-server-ticketmaster"],
         "env": {
           "TICKETMASTER_API_KEY": "your-api-key-here"
         }
       }
     }
   }
   

5. Save the file and restart Windsurf.
6. Verify the server is accessible within Windsurf.

Claude

1. Make sure Node.js is installed.
2. Obtain a Ticketmaster API key.
3. Open your Claude MCP configuration.
4. Insert the following configuration:

   {
     "mcpServers": {
       "ticketmaster": {
         "command": "npx",
         "args": ["-y", "@delorenj/mcp-server-ticketmaster"],
         "env": {
           "TICKETMASTER_API_KEY": "your-api-key-here"
         }
       }
     }
   }
   

5. Save configuration, restart Claude, and verify availability.

Cursor

1. Confirm Node.js is installed.
2. Acquire your Ticketmaster API key.
3. Open Cursor’s MCP configuration file.
4. Add the Ticketmaster MCP server block:

   {
     "mcpServers": {
       "ticketmaster": {
         "command": "npx",
         "args": ["-y", "@delorenj/mcp-server-ticketmaster"],
         "env": {
           "TICKETMASTER_API_KEY": "your-api-key-here"
         }
       }
     }
   }
   

5. Save and restart Cursor to apply changes.

Cline

1. Make sure Node.js is available.
2. Register for a Ticketmaster API key.
3. Edit the Cline MCP server configuration.
4. Add:

   {
     "mcpServers": {
       "ticketmaster": {
         "command": "npx",
         "args": ["-y", "@delorenj/mcp-server-ticketmaster"],
         "env": {
           "TICKETMASTER_API_KEY": "your-api-key-here"
         }
       }
     }
   }
   

5. Restart Cline and verify the MCP server is running.

Securing API Keys:
The configuration above stores the API key securely using environment variables (env block in JSON).

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "ticketmaster": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “ticketmaster” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

Based on the available documentation, this MCP server is straightforward to set up and exposes a single, well-documented tool. However, it lacks advanced MCP features such as prompt templates, resource definitions, roots, and sampling. Its score is moderate because of clear setup and usage, but limited protocol surface.

MCP Score