About MCP Live Events Server
MCP Live Events Server connects AI agents to Ticketmaster event data for real-time searches. It formats API responses for easier interpretation by LLMs.
Key features
- 01Search Ticketmaster events
- 02Retrieve real-time event data
- 03Format responses for LLM interpretation
Use cases
- 01Look up concerts and live events
- 02Retrieve event details dynamically
MCP support
An MCP server that provides MCP clients with event search and data from the Ticketmaster API.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEMCP Live Events Server
mcp-live-events is a Model Context Protocol (MCP) server that integrates with
the Ticketmaster API to provide real-time event data. It allows AI agents to
fetch concert and event details dynamically.
Features
- 🎟️ Integrates with the Ticketmaster API to search for events
- 🗣️ Formats API responses for ease of LLM interpretation
Setup
Prerequisites
Ensure you have the following installed:
- uv (used for package management)
- Python 3.13+
- A Ticketmaster API key (free to use, but rate limited)
Installation
-
Clone the repository:
git clone https://github.com/mmmaaatttttt/mcp-live-events.git cd mcp-live-events -
Install dependencies:
uv venv uv sync -
Set up your environment variables, i.e. the Ticketmaster API key. This can either be placed in a
.envfile in this repository, following the pattern of the.env.examplefile, or it can be placed in an "env" section of this server's configuration in your MCP client.Note that on the Ticketmaster developer portal, the API key is named "Consumer Key."
Running the server
uv run mcp-live-events
If it's successful, you should see MCP Live Event server is running! print to
your terminal.
Resources
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.