
TranscriptFetch
com.transcriptfetch由 transcriptfetch.com 發布官方發布者v1.2.3更新於 Oct 30, 2026
Transcript retrieval for YouTube, TikTok and Instagram: whole channels, playlists and searches.
概覽
TranscriptFetch 讓助理取得 YouTube、TikTok 與 Instagram 的影片逐字稿、搜尋影片並列出頻道與播放清單,缺少字幕時會自動進行 AI 轉錄。
- 可以做什麼
- 取得 YouTube、TikTok、Instagram 影片或直接媒體網址的逐字稿,可選用 markdown、分段或純文字輸出
- 在 YouTube、TikTok 或 Instagram 搜尋影片,可依上傳日期、長度、字幕篩選並排序
- 依關鍵字尋找頻道與播放清單
- 列出頻道的影片、Shorts、直播、播放清單或播客,以及播放清單中的影片
- 查詢此 API 金鑰剩餘的額度
- 適用情境
- 適合讓助理閱讀、摘要或引用 YouTube、TikTok、Instagram 的影片內容,或研究某個頻道、播放清單,而不必手動複製逐字稿。
- 執行需求
- 需要 TranscriptFetch 帳號,並透過 TRANSCRIPTFETCH_API_KEY 提供 API 金鑰。可使用託管的遠端端點(OAuth 或 API 金鑰),或使用需 Node 18+ 的本機 npm 套件(以 npx 執行)。可選用 TRANSCRIPTFETCH_BASE_URL 覆寫 API 主機。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 TranscriptFetch,將其新增到工作區。
- 連接 所需的 憑證。它們會被私密儲存,絕不會在公開頁面上展示。
- 為需要使用其工具的對話啟用該服務。
Web executable,透過 Streamable HTTP。 遠端服務在工作區中設定後即可從網頁執行環境執行。
交給代理程式安裝
把這段提示詞貼上到 Claude Code、Codex、Cursor 等代理程式,或 SourceWeft 對話中。代理程式會讀取該伺服器的安裝指南,先向你展示發布者、端點和登入方式,經你同意後再把它新增到你的客戶端。金鑰不會寫進任何命令。
閱讀 https://sourceweft.com/mcp/com.transcriptfetch%2Fyoutube-transcripts/install.md,並按其中說明把這個 MCP 伺服器接入我的客戶端。修改任何設定之前,先告訴我它的發布者、端點和登入方式,等我確認。不要把 API 金鑰寫進命令或我會提交的檔案;問我金鑰應從哪裡取得。其他 MCP 客戶端
把它新增到你客戶端的 mcpServers 設定中。 客戶端會在首次連接時完成 OAuth 登入。
{
"mcpServers": {
"transcriptfetch": {
"type": "http",
"url": "https://transcriptfetch.com/mcp"
}
}
}README
TranscriptFetch MCP Server
A Model Context Protocol server that gives any MCP client (Claude Desktop, Cursor, and others) access to the TranscriptFetch API: a production transcript API for YouTube, TikTok and Instagram, with AI transcription when captions are missing. Fetch transcripts, search videos, list channels and playlists, and check your credit balance.
Get an API key
- Create a free account at transcriptfetch.com. No card needed.
- Open Dashboard, then API keys and create a key. It starts with
tf_live_. - Put it in
TRANSCRIPTFETCH_API_KEYin the client configuration below.
Every account gets 50 free credits a month. Failures are free: a fetch that returns no transcript is never charged.
Runs locally over stdio and calls the TranscriptFetch API with your key. Prefer a hosted, remote server? Point your client at https://transcriptfetch.com/mcp instead (OAuth or API key). The hosted server waits inline for short-form AI transcription, so no polling is needed there.
Tools
These are the same seven tools, with the same inputs, as the hosted server at https://transcriptfetch.com/mcp: npm run sync-tools regenerates them from its public card.
Pricing is per successful result: a caption fetch or a video list costs 1 credit, and AI transcription of the audio costs 1 credit per started 5 minutes of audio, charged only on delivery. Failed, blocked and empty results are never charged, which matters on short-form video where many clips have no speech at all.
Install
No install needed. Run it on demand with npx:
Or install globally:
Requires Node 18+.
Run from source
Then point your client at the built entrypoint with "command": "node" and
"args": ["/absolute/path/to/mcp-server/dist/index.js"].
Client configuration
Claude Desktop
Add this to claude_desktop_config.json (Settings then Developer then Edit Config):
Cursor
Add the same block under mcpServers in your Cursor MCP settings.
Restart the client, and the five tools appear.
Example
Once connected, ask your assistant naturally:
Get the transcript for https://youtu.be/aircAruvnKk and summarize the key points.
Search YouTube for "how transformers work" and list the top 5 videos.
List the latest videos from @lexfridman and pull the transcript of the newest one.
How many TranscriptFetch credits do I have left?
The assistant picks the matching tool and works from the returned transcript or video list.
Configuration
Docker
The server speaks MCP over stdio, so there is no port to expose. -i is
required: without an attached stdin the transport closes immediately and the
container looks like it crashed.
Links
- API docs: https://transcriptfetch.com/docs?utm_source=github&utm_medium=mcp&utm_campaign=youtube-tiktok-instagram-transcript-mcp
- MCP docs: https://transcriptfetch.com/docs/mcp?utm_source=github&utm_medium=mcp&utm_campaign=youtube-tiktok-instagram-transcript-mcp
- Node SDK: https://github.com/TranscriptFetch/transcript-api-node
- Python SDK: https://github.com/TranscriptFetch/transcript-api-python
License
MIT
來源:README.md,提交 d771efd
工具
0版本歷史
2- v1.2.3最新Oct 23, 2026
- v1.2.2Sep 16, 2026
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