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MCP 直播活动服务器

mcp-live-events是一个模型上下文协议 (MCP) 服务器,它与 Ticketmaster API 集成,提供实时活动数据。它允许 AI 代理动态获取音乐会和活动详情。

特征

  • 🎟️ 与 Ticketmaster API 集成以搜索活动

  • 🗣️ 格式化 API 响应以方便 LLM 解释

Related MCP server: Eventbrite MCP Server

设置

先决条件

确保已安装以下软件:

  • uv (用于包管理)

  • Python 3.13+

  • Ticketmaster API 密钥(免费使用,但速率受限)

安装

  1. 克隆存储库:

    git clone https://github.com/mmmaaatttttt/mcp-live-events.git
    cd mcp-live-events
  2. 安装依赖项:

    uv venv
    uv sync
  3. 设置您的环境变量,例如 Ticketmaster API 密钥。您可以将其放置在此仓库的.env文件中(参考.env.example文件),也可以将其放置在 MCP 客户端服务器配置的“env”部分中。

    请注意,在 Ticketmaster 开发者门户上,API 密钥被命名为“消费者密钥”。

运行服务器

uv run mcp-live-events

如果成功,您应该会看到MCP Live Event server is running!打印到您的终端。

资源

Available Tools

1 tool
get_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.

ParametersJSON Schema
NameRequiredDescriptionDefault
cityYes
start_dttm_strYes
end_dttm_strYes
keywordNo

TDQS

B3.3/5.0
Behavior2/5

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.

Conciseness4/5

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.

Completeness3/5

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.

Parameters5/5

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.

Purpose4/5

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.

Usage Guidelines2/5

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.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

  1. 1 tool update
    • First observedget_upcoming_events

TDQS

B3.4/5.0

Scored across 1 tool

Disambiguation5/5

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.

Naming Consistency5/5

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.

Tool Count2/5

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.

Completeness2/5

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

ActivityInactive
ResponsivenessNo issues

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