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jkawamoto

YouTube Transcript MCP Server

by jkawamoto
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Python
Remote

Сервер MCP транскрипта YouTube

Приложение Python Лицензия GitHub предварительное обязательство Рафф значок кузнеца

Этот сервер MCP извлекает расшифровки для заданных URL-адресов видео YouTube.

Инструменты

Этот сервер MCP предоставляет следующие инструменты:

get_transcript

Извлекает расшифровку указанного видео YouTube.

Параметры

  • url (string) : Полный URL видео YouTube. Это поле обязательно.

  • lang (строка, необязательно) : желаемый язык для транскрипта. По умолчанию en , если не указано иное.

Related MCP server: YouTube Transcript Server

Установка

Для Goose CLI

Чтобы включить расширение YouTube Transcript в Goose CLI, отредактируйте файл конфигурации ~/.config/goose/config.yaml включив в него следующую запись:

extensions:
  youtube-transcript:
    name: Youtube Transcript
    cmd: uvx
    args: [--from, git+https://github.com/jkawamoto/mcp-youtube-transcript, mcp-youtube-transcript]
    enabled: true
    type: stdio

Для рабочего стола Goose

Добавьте новое расширение со следующими настройками:

  • Тип : Стандартный ввод-вывод

  • ID : youtube-транскрипт

  • Имя : Транскрипт YouTube

  • Описание : Получение расшифровок видео YouTube.

  • Команда : uvx --from git+https://github.com/jkawamoto/mcp-youtube-transcript mcp-youtube-transcript

Более подробную информацию о настройке серверов MCP в Goose Desktop можно найти в документации: Использование расширений — серверы MCP .

Для рабочего стола Клода

Чтобы настроить этот сервер для Claude Desktop, отредактируйте файл claude_desktop_config.json , добавив в mcpServers следующую запись:

{
  "mcpServers": {
    "youtube-transcript": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/jkawamoto/mcp-youtube-transcript",
        "mcp-youtube-transcript"
      ]
    }
  }
}

После редактирования перезапустите приложение. Для получения дополнительной информации см.: Для пользователей Claude Desktop - Model Context Protocol .

Установка через Smithery

Чтобы автоматически установить Youtube Transcript для Claude Desktop через Smithery :

npx -y @smithery/cli install @jkawamoto/mcp-youtube-transcript --client claude

Использование прокси-серверов

В средах, где доступ к YouTube ограничен, вы можете использовать прокси-серверы.

При использовании Webshare задайте имя пользователя и пароль для Residential Proxy, используя либо переменные среды WEBSHARE_PROXY_USERNAME и WEBSHARE_PROXY_PASSWORD , либо аргументы командной строки --webshare-proxy-username и --webshare-proxy-password .

При использовании других прокси-серверов задайте URL-адрес прокси-сервера с помощью переменных среды HTTP_PROXY или HTTPS_PROXY , либо аргументов командной строки --http-proxy или --https-proxy .

Более подробную информацию можно найти на странице: Обход блокировок по IP-адресам — API YouTube Transcript .

Лицензия

Это приложение лицензировано по лицензии MIT. Подробнее см. в файле LICENSE .

Available Tools

4 tools
get_available_languagesA

Retrieves the available languages for the video.

ParametersJSON Schema
NameRequiredDescriptionDefault
urlYesThe URL of the YouTube video

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

A3.6/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of disclosing behavior. It correctly implies a read-only operation, but does not explicitly state that it is non-destructive, has no side effects, or any rate limits. The minimal description is adequate but lacks depth.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, concise sentence with no unnecessary words. It front-loads the purpose and is appropriately sized for a simple retrieval tool.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given that an output schema exists (documenting return values), the description is largely sufficient. However, it could briefly mention that the result is typically used to select a language for transcript retrieval, linking it to sibling tools. Otherwise, it is complete for a straightforward tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the schema already documents the 'url' parameter. The description adds no additional semantics beyond what the schema provides, merely repeating that it is for a video. This meets the baseline expectation of high schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('retrieves') and the resource ('available languages for the video'). It effectively distinguishes from sibling tools like get_timed_transcript and get_transcript, which deal with transcript content rather than language options.

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. There is no mention of prerequisites, such as needing to call this before selecting a language for transcripts, or any comparison with sibling tools. This leaves an AI agent without context for decision-making.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

get_timed_transcriptA

Retrieves the transcript of a YouTube video with timestamps.

ParametersJSON Schema
NameRequiredDescriptionDefault
urlYesThe URL of the YouTube video
langNoThe preferred language for the transcripten
next_cursorNoCursor to retrieve the next page of the transcript

Output Schema

ParametersJSON Schema
NameRequiredDescription
titleYesTitle of the video
snippetsYesTranscript snippets of the video
next_cursorNoCursor to retrieve the next page of the transcript

TDQS

A3.5/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description does not disclose behavioral traits such as pagination (despite the next_cursor parameter), rate limits, or authentication requirements. The basic retrieval purpose is clear, but critical context for the agent is missing.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

A single 7-word sentence that is perfectly concise and front-loaded with the essential action and distinguishing feature.

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 presence of an output schema, the description is minimally adequate. However, it lacks context about pagination, language fallback, and error handling, which are relevant for a tool with three parameters and a cursor.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, and the description adds no extra meaning beyond what the schema already provides for each parameter. Baseline score of 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the verb 'retrieves' and resource 'transcript of a YouTube video with timestamps', distinguishing it from the sibling 'get_transcript' which presumably lacks timestamps.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool versus alternatives like 'get_transcript' or 'get_available_languages'. Purpose clarity provides implicit distinction but no direct recommendation.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

get_transcriptC

Retrieves the transcript of a YouTube video.

ParametersJSON Schema
NameRequiredDescriptionDefault
urlYesThe URL of the YouTube video
langNoThe preferred language for the transcripten
next_cursorNoCursor to retrieve the next page of the transcript

Output Schema

ParametersJSON Schema
NameRequiredDescription
titleYesTitle of the video
transcriptYesTranscript of the video
next_cursorNoCursor to retrieve the next page of the transcript

TDQS

C2.9/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations are present, so the description should carry the burden. It says 'retrieves' but does not disclose pagination (next_cursor parameter), language handling default, or output format. The schema hints at pagination, but the description omits this behavioral trait.

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 a single sentence, very concise and to the point. However, it may be too terse given the complexity (pagination, language option). Still, it earns its place with no filler.

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 that an output schema exists (mentioned in context signals) and input schema covers all parameters, the description covers the core purpose. However, it lacks details on pagination behavior, language fallback, and comparison with siblings, leaving some gaps for a complete understanding.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, and the descriptions for url, lang, and next_cursor are already informative. The tool description adds no additional semantic value beyond what the schema provides, so baseline 3 is appropriate.

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 retrieves a YouTube video transcript, but lacks differentiation from sibling tools like get_timed_transcript or get_available_languages. The verb 'retrieves' and resource 'transcript' are specific, but without context on what format (plain vs timed) or scope, it's not fully distinguished.

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?

No guidance is provided on when to use this tool versus siblings. For example, get_timed_transcript might return timestamps, while this one might return plain text. The agent has no criteria to choose among them.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

get_video_infoC

Retrieves the video information.

ParametersJSON Schema
NameRequiredDescriptionDefault
urlYesThe URL of the YouTube video

Output Schema

ParametersJSON Schema
NameRequiredDescription
titleYesTitle of the video
durationYesDuration of the video
uploaderYesUploader of the video
descriptionYesDescription of the video
upload_dateYesUpload date of the video

TDQS

C2.9/5.0
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

No annotations provided, so the description must disclose behavioral traits. It only says 'retrieves' without confirming read-only nature, side effects, or any constraints.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single short sentence, which is minimal but does not provide enough detail to be useful; it sacrifices informativeness for brevity.

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 presence of an output schema (not shown) and sibling tools, the description is adequate but could specify the scope of 'video information' and how it relates to the transcript-focused siblings.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% for the sole parameter 'url', and the description adds no extra meaning beyond what the schema already provides.

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 action (retrieves) and resource (video information), but it does not specify what type of information (e.g., metadata, statistics) nor differentiate from sibling tools focused on transcripts.

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?

No guidance on when to use this tool versus siblings like get_transcript or get_available_languages. No context on prerequisites or alternatives.

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. Dates show when Glama detected each change.

  1. 1 tool updatev0.6.2
    • Addedget_available_languages
  2. 2 tool updatesv1.0.0
    • Addedget_timed_transcript
    • Addedget_video_info
  3. 1 tool update
    • First observedget_transcript
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TDQS

A3.5/5.0
Disambiguation4/5

Most tools are distinct: get_available_languages and get_video_info have clear purposes. get_transcript and get_timed_transcript overlap but differ by timestamps, creating slight ambiguity.

Naming Consistency5/5

All tools follow a consistent 'get_' prefix with descriptive nouns in snake_case, making the pattern predictable.

Tool Count5/5

Four tools cover core operations (transcript, timed transcript, languages, video info) without excess or deficiency for a transcript-focused server.

Completeness4/5

The tool set covers essential transcript retrieval and video information. Missing features like search or playlist support are outside the stated domain, so completeness is high but not maximal.

Maintenance

ActivityMaintained
ResponsivenessSyncing

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