@kazuph/mcp-youtube
YouTube MCP 서버
yt-dlp 사용하여 YouTube에서 자막을 다운로드하고 Model Context Protocol을 통해 claude.ai에 연결합니다. Claude에게 "YouTube 동영상 요약해 줘 <>"라고 요청하여 시도해 보세요. Homebrew 등을 통해 yt-dlp 로컬에 설치해야 합니다.
이걸 어떻게 작동시키나요?
yt-dlp 설치 (Homebrew와 WinGet 모두 여기서 잘 작동합니다)
지엑스피1
매개변수
url: YouTube 동영상 URL (필수)language: 자막 언어 코드(선택 사항, 기본값: 'ja')ISO 639-1 언어 코드를 사용합니다.
일반 언어 코드:
ja: 일본어en: 영어ko: 한국어zh: 중국어fr: 프랑스어
참고: 지정된 언어의 자막이 없으면 오류가 발생합니다.
예
{
"mcpServers": {
"youtube": {
"command": "npx",
"args": ["-y", "@kazuph/mcp-youtube"]
}
}
}Available Tools
1 toolget_youtube_transcriptC
Download YouTube video transcript and metadata
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | ||
| language | 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 disclosing behavioral traits. It only states 'Download', which implies a read operation, but it does not mention potential issues like missing transcripts, language availability, rate limits, or authentication requirements. The description lacks sufficient behavioral context.
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 extremely concise at only 6 words, with no wasted text. However, it is also under-specified, lacking structure or front-loading of key details. It meets minimal conciseness but at the cost of completeness.
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 absence of annotations, output schema, and schema descriptions, the description is insufficiently complete. It does not address parameter details, return format, error conditions, or usage prerequisites. The agent would lack necessary context to use the tool 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%, meaning the input schema provides no descriptions for the 'url' and 'language' parameters. The tool description does not mention or clarify any parameter semantics, failing to add meaning beyond the bare schema. This is a critical gap.
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 verb 'Download' and the resource 'YouTube video transcript and metadata', which is specific and unambiguous. However, it does not detail what metadata is included, but it is still clear enough for an agent to understand the tool's purpose. Since there are no sibling tools, no differentiation is needed.
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 (none exist), nor does it specify prerequisites, limitations, or context. It simply states what the tool does without any usage advice, leaving the agent without decision support.
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
v1.0.0- First observed
get_youtube_transcript
TDQS
Scored across 1 tool
Only one tool exists, so there is no risk of confusion between tools.
With a single tool, naming is inherently consistent.
A single tool is borderline but appropriate for a focused purpose like transcript retrieval.
The tool covers the core functionality of getting transcripts and metadata, though additional features like searching videos could be expected.
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YouTube video/channel search, suggestions, details, comments/replies, Shorts, transcripts, paging.
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