MCP Live Events Server
The MCP Live Events Server integrates with the Ticketmaster API to fetch and format real-time music event data. With this server, you can:
Search for upcoming music events in specific cities
Filter events by date range using ISO 8601 format
Refine results using optional keywords
Access dynamically updated concert information
The server formats responses specifically for better interpretation by AI agents and models.
Integrates with the Ticketmaster API to provide real-time event data, allowing users to search for concerts and other events by city, date range, and keywords.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MCP Live Events Serverfind upcoming concerts in New York this weekend"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
MCP 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
Related MCP server: Eventbrite MCP Server
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-eventsInstall dependencies:
uv venv uv syncSet 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-eventsIf it's successful, you should see MCP Live Event server is running! print to
your terminal.
Resources
Available Tools
1 toolget_upcoming_eventsB
Get upcoming music events for a city.
Args: city: City in which to search for events. start_dttm_str: Start date/time in ISO 8601 format (YYYY-MM-DDTHH:MM:SSZ). Example: 2025-02-08T00:00:00Z end_dttm_str: Start date/time in ISO 8601 format (YYYY-MM-DDTHH:MM:SSZ). Example: 2025-02-10T00:00:00Z keyword: Any optional keywords to help filter search results.
| Name | Required | Description | Default |
|---|---|---|---|
| city | Yes | ||
| start_dttm_str | Yes | ||
| end_dttm_str | Yes | ||
| keyword | No |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries the full burden of behavioral disclosure. It implies a read-only operation ('Get') but lacks details on permissions, rate limits, pagination, error handling, or response format. This leaves significant gaps for a tool with 4 parameters and no output schema.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is appropriately sized and front-loaded with the core purpose in the first sentence. The parameter documentation is structured with bullet points, though the repetition of 'Start date/time' for 'end_dttm_str' is slightly misleading. Overall, it's efficient with minimal waste.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's moderate complexity (4 parameters, no output schema, no annotations), the description is partially complete. It excels in parameter semantics but lacks behavioral context, usage guidelines, and output details. This results in an adequate but gap-filled description for an agent to use effectively.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema description coverage is 0%, so the description must compensate fully. It explicitly documents all 4 parameters with clear semantics: 'city' for location, 'start_dttm_str' and 'end_dttm_str' for date/time range in ISO 8601 format with examples, and 'keyword' as optional for filtering. This adds substantial value beyond the bare schema.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool's purpose: 'Get upcoming music events for a city.' It specifies the verb ('Get'), resource ('upcoming music events'), and scope ('for a city'). However, since there are no sibling tools, it cannot differentiate from alternatives, preventing a score of 5.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description provides no guidance on when to use this tool versus alternatives, prerequisites, or exclusions. It only lists parameters without context about appropriate scenarios or constraints, offering minimal usage direction.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
TDQS
With only one tool, there is no possibility of ambiguity or overlap between tools. The tool's purpose is clearly defined as retrieving upcoming music events for a specified city, making it distinct by default.
The single tool name 'get_upcoming_events' follows a clear verb_noun pattern (get + upcoming_events), which is consistent within this minimal set. There are no other tools to compare against, so no inconsistency exists.
A single tool is too few for a server named 'MCP Live Events Server', which suggests a broader domain of live events management. This minimal toolset feels thin and incomplete for handling events beyond basic retrieval, such as creating, updating, or deleting events.
The tool surface is severely incomplete for the implied domain of live events. While 'get_upcoming_events' allows retrieval, there are significant gaps: no tools for creating events, updating event details, deleting events, or managing other aspects like tickets or venues, which will likely cause agent failures in comprehensive workflows.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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Related MCP Servers
- FlicenseNot gradedqualityDmaintenanceAn MCP Server that enables interaction with Ticketmaster's Discovery API for accessing event, venue, and artist information through natural language commands.
- AlicenseAqualityDmaintenanceThis is a Model Context Protocol (MCP) server that provides tools for interacting with the Eventbrite API. It allows AI assistants to search for events, get event details, retrieve venue information, and more.418MIT
- AlicenseNot gradedqualityDmaintenanceA server that enables searching for events, venues, and attractions through the Ticketmaster Discovery API with flexible filtering and multiple output formats.MIT
- AlicenseBqualityDmaintenanceEnables AI agents to manage events, venues, songs, and users via the Sonic API, with integrated Spotify and Google Maps search.23MIT
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