YouTube Transcript — FlashData
io.github.flashdata-dev由 GitHub 帳號 flashdata-dev 發布v0.1.2更新於 Oct 24, 2026
YouTube transcript text with timestamps from existing caption tracks. Paid FlashData API.
發布方自己的服務:Transcript
概覽
透過付費的 FlashData API 取得帶起訖時間戳的現有 YouTube 字幕文字,方便製作附引用的摘要與逐字稿匯出。
- 可以做什麼
- 依語言與自動產生選項,取得影片現有字幕軌的逐字稿片段(開始、結束、文字)
- 在核准付費請求前查詢此資料來源的定價
- 輪詢非同步工作並讀取已完成的輸出
- 依結果 ID 與位移量分段取得結果,並依序拼接
- 適用情境
- 適合需要帶時間戳的 YouTube 逐字稿來做研究筆記、附引用的摘要、可搜尋筆記或匯出,且願意按次付費的情況。它只讀取既有的字幕軌,因此不適合沒有字幕的影片,也不做語音辨識或翻譯。
- 執行需求
- 支援 stdio 的本機 MCP 用戶端,以及 Node.js 22.18 或更新版本;MCPB 套件已內含相依套件。需在 FLASHDATA_API_KEY 環境變數提供已取得 youtube_transcript 權限的 FlashData API 金鑰,並需能連線至 FlashData API。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 YouTube Transcript — FlashData,將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。
其他 MCP 客戶端
參照 儲存庫 中的啟動說明。
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
來源:registry/servers/youtube-transcript/README.md,提交 ec77370
工具
0版本歷史
2- v0.1.2最新Oct 15, 2026
- v0.1.1Oct 13, 2026
評分
已滿足適用檢查項的 50%
該評分衡量此收錄條目的完整程度,依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價,也不表示伺服器安全或目前可用:可連通性是帶日期的檢查結果,評分也不包含安裝量或使用者評價。
- 近 30 天內可連通25 分
請保持端點能夠回應 MCP 握手;SourceWeft 每 30 天探測一次。
- 已宣告認證方式10 分
請在註冊中心條目中宣告憑證請求標頭,或保持端點能夠回應探測,以便判定其認證方式。
- 已列出工具15 分
請讓伺服器在無憑證時回應 tools/list,或發布可在沙箱中無憑證啟動的軟體包。
- 描述必需15 分
- 圖示10 分
- 文件15 分
- 授權條款10 分
其他 Transcript 整合
Transcript
land.transcript官方發布者
遠端 MCP 服務,可取得 YouTube、X、TikTok、Instagram 與 Facebook 影片附時間碼的乾淨逐字稿,沒有字幕時改用 AI 轉錄。

YouTube Transcript MCP
由 GitHub 帳號 Youtube-Transcript-Dev 發布
託管式 MCP 伺服器,讓助理取得附時間戳的 YouTube 字幕、搜尋字幕歷史並刪除已儲存的紀錄。
YouTube Transcript Scraper
com.quarralabs
託管於 Apify 的遠端 MCP 伺服器,讓助理取得帶時間戳的 YouTube 字幕,來源包括影片、Shorts、頻道、播放清單與搜尋結果。

Instagram Reels Transcript
由 GitHub 帳號 sumitrmardy 發布
託管於 Apify 的遠端 MCP 伺服器,用 Whisper 把 Instagram Reels 轉成文字,並提供時間戳、SRT、觀看次數、按讚數與文案。

TubeToTranscript
由 GitHub 帳號 TubeToTranscript 發布
為 AI 助理取得 YouTube 字幕,回傳含時間戳、標題、頻道與語言的逐字稿,並支援字幕匯出。