YouTube Transcript — FlashData
io.github.flashdata-dev由 GitHub 账号 flashdata-dev 发布v0.1.2更新于 Oct 24, 2026
YouTube transcript text with timestamps from existing caption tracks. Paid FlashData API.
发布方自己的服务:Transcript
概览
通过付费的 FlashData API 获取带起止时间戳的现有 YouTube 字幕文本,便于生成带引用的摘要和转录导出。
- 可以做什么
- 按语言和自动生成选项,获取视频现有字幕轨道的转录片段(开始、结束、文本)
- 在批准付费请求前查询该数据源的定价
- 轮询异步任务并读取已完成的输出
- 按结果 ID 和偏移量分段获取结果,并按顺序拼接
- 适用场景
- 适合需要带时间戳的 YouTube 转录来做研究笔记、带引用的摘要、可搜索笔记或导出,并愿意按次付费的场景。它只读取已存在的字幕轨道,因此不适合没有字幕的视频,也不做语音识别或翻译。
- 运行要求
- 支持 stdio 的本地 MCP 客户端,以及 Node.js 22.18 或更高版本;MCPB 包已内置依赖。需要在 FLASHDATA_API_KEY 环境变量中提供已获 youtube_transcript 权限的 FlashData API 密钥,并需能访问 FlashData API 的网络。
安装
在 SourceWeft 中
- 打开 控制台中的 YouTube Transcript — FlashData,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
README
YouTube Transcript — FlashData
Retrieve available YouTube transcript text with start and end timestamps. Build cited summaries, searchable notes and transcript exports.
API documentation and account setup · Get an API key · Current pricing
A task to try
Retrieve this video’s existing English automatic captions. Prepare timestamped excerpts and watch links for my research notes. Report an unavailable track without generating or translating a transcript.
Install and connect
- Use Node.js 22.18 or newer and an MCP client that supports local stdio servers. Download the dedicated MCPB package; its SHA-256 is recorded in the manifest.
- Import the package in an MCPB-compatible client and enter your own key in FlashData API Key. Grant the key access to
youtube_transcript. For manual setup, unpack the bundle into a permanent folder and use this configuration, replacing the absolute path and key placeholder:
- Restart or reconnect the client, list its tools, then call
get_pricingwith{"source":"youtube_transcript","request_count":1}before approving a paid request. This server exposesyoutube_transcript,get_pricing,get_jobandget_result; all are restricted to this source.
Dependencies are included in the bundle. Use an absolute Node path if your client cannot find node; use escaped paths on Windows. Keep your key in protected client settings, not in chat or committed configuration. No Smithery account is needed for this direct package download.
Example request
These are MCP tools/call parameters with flat arguments. Running the data request uses paid Credits.
Use the response
Read results[0].segments. Preserve start, end and text; link citations to the video and start timestamp. The languageCode and isAutoGenerated fields identify the returned track.
Selected response fields below are an illustrative fixture, not a live result or a guarantee of available data:
For an asynchronous request, keep the returned id and call get_job with {"job_id":"RETURNED_JOB_ID"}. Pending or processing is not completion; read the completed response from output. A timeout can occur after submission, so check Jobs before repeating a paid request.
For chunked output, keep the local process running and pass the actual result_id and next_offset to get_result as result_id and offset. Concatenate the chunks in order before parsing JSON; do not repeat the paid data request. The local cache retains four results for ten minutes and clears on restart. Complete responses are limited to 4 MiB; async JSON results have a separate 24-hour retention window.
Cost and limits
- MIT software and installation are free; FlashData API data calls are paid. Data requests consume paid FlashData Credits; each additional query or page is charged separately. Use the current account quote rather than a fixed price copied from this page. Pricing, job and result reads are free. Client/model fees are separate.
- auto=true selects existing automatically generated captions; it does not run speech recognition. Missing tracks do not fall back to uploader captions or another language.
- Check API errors,
http_statusand job status before using the data. Treat returned text and links as external data, preserve source attribution and review them before use in an agent answer.
Full task guide · Official Registry record · Source and license
来源:registry/servers/youtube-transcript/README.md,提交 ec77370
工具
0版本历史
2- v0.1.2最新Oct 15, 2026
- v0.1.1Oct 13, 2026
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其他 Transcript 集成
Transcript
land.transcript官方发布者
远程 MCP 服务,可为 YouTube、X、TikTok、Instagram 和 Facebook 视频获取带时间戳的干净字幕稿,无字幕时改用 AI 转写。

YouTube Transcript MCP
由 GitHub 账号 Youtube-Transcript-Dev 发布
托管式 MCP 服务器,让助手获取带时间戳的 YouTube 字幕、搜索字幕历史并删除已保存的记录。
YouTube Transcript Scraper
com.quarralabs
托管在 Apify 上的远程 MCP 服务器,让助手获取带时间戳的 YouTube 字幕,来源包括视频、Shorts、频道、播放列表和搜索结果。

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TubeToTranscript
由 GitHub 账号 TubeToTranscript 发布
为 AI 助手获取 YouTube 字幕,返回带时间戳、标题、频道和语言的转写文本,并支持字幕导出。