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

AI 產生的概覽

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。
安裝前請注意
資料呼叫需付費:每次請求會消耗 FlashData Credits,額外的查詢或分頁另行計費,請先查詢定價,逾時後不要重複送出付費請求。API 金鑰屬於機密,應保存在受保護的用戶端設定中,不要寫進對話或提交到設定檔。回傳的逐字稿文字與連結屬於外部資料,使用前應審閱並保留來源標註。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 YouTube Transcript — FlashData,將其新增到工作區。
  2. 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

  1. 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.
  2. 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:
json
{  "mcpServers": {    "youtube-transcript": {      "command": "node",      "args": [        "/absolute/path/to/unpacked/youtube-transcript/server.js"      ],      "env": {        "FLASHDATA_API_KEY": "YOUR_API_KEY"      }    }  }}
  1. Restart or reconnect the client, list its tools, then call get_pricing with {"source":"youtube_transcript","request_count":1} before approving a paid request. This server exposes youtube_transcript, get_pricing, get_job and get_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.

json
{  "name": "youtube_transcript",  "arguments": {    "video_id": "dQw4w9WgXcQ",    "language": "en",    "auto": true  }}

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:

json
{  "source": "youtube_transcript",  "status": "done",  "results": [    {      "videoId": "dQw4w9WgXcQ",      "languageCode": "en",      "isAutoGenerated": true,      "segments": [        {          "start": 0,          "end": 3,          "text": "Example transcript."        }      ]    }  ],  "created_at": "2026-10-12T00:00:00Z",  "http_status": 200,  "request_id": "fixture-request"}

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_status and 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
SourceWeft 尚未在沙箱中啟動過該軟體包,因此其工具未知。

版本歷史

2
  1. v0.1.2最新Oct 15, 2026
  2. v0.1.1Oct 13, 2026

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