MCP Live Events Server
MCP 라이브 이벤트 서버
mcp-live-events Ticketmaster API와 통합되어 실시간 이벤트 데이터를 제공하는 모델 컨텍스트 프로토콜(MCP) 서버입니다. AI 에이전트가 콘서트 및 이벤트 정보를 동적으로 가져올 수 있도록 지원합니다.
특징
🎟️ Ticketmaster API와 통합하여 이벤트 검색
🗣️ LLM 해석의 용이성을 위해 API 응답 형식을 지정합니다.
Related MCP server: Eventbrite MCP Server
설정
필수 조건
다음이 설치되어 있는지 확인하세요.
uv (패키지 관리에 사용됨)
파이썬 3.13+
Ticketmaster API 키(사용은 무료이지만 속도 제한이 있음)
설치
저장소를 복제합니다.
지엑스피1
종속성 설치:
uv venv uv syncTicketmaster API 키 등 환경 변수를 설정하세요. 이 변수는
.env.example파일의 패턴에 따라 이 저장소의.env파일에 저장하거나, MCP 클라이언트에서 이 서버 구성의 "env" 섹션에 저장할 수 있습니다.Ticketmaster 개발자 포털에서는 API 키의 이름이 "Consumer Key"입니다.
서버 실행
uv run mcp-live-events성공하면 MCP Live Event server is running! 메시지가 터미널에 표시됩니다.
자원
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.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
1 tool update
- First observed
get_upcoming_events
TDQS
Scored across 1 tool
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.
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