
TranscriptFetch
com.transcriptfetch由 transcriptfetch.com 发布官方发布者v1.2.3更新于 Oct 30, 2026
Transcript retrieval for YouTube, TikTok and Instagram: whole channels, playlists and searches.
概览
TranscriptFetch 让助手获取 YouTube、TikTok 和 Instagram 的视频转录文本、搜索视频并列出频道与播放列表,缺少字幕时自动进行 AI 转录。
- 可以做什么
- 获取 YouTube、TikTok、Instagram 视频或直链媒体地址的转录文本,可选 markdown、分块或纯文本输出
- 在 YouTube、TikTok 或 Instagram 上搜索视频,可按上传日期、时长、字幕筛选并排序
- 按关键词查找频道和播放列表
- 列出频道的视频、Shorts、直播、播放列表或播客,以及播放列表中的视频
- 查询该 API 密钥剩余的额度
- 适用场景
- 适合让助手阅读、总结或引用 YouTube、TikTok、Instagram 的视频内容,或调研某个频道、播放列表,而无需手动复制转录文本。
- 运行要求
- 需要 TranscriptFetch 账号,并通过 TRANSCRIPTFETCH_API_KEY 提供 API 密钥。可使用托管远程端点(OAuth 或 API 密钥),或使用需 Node 18+ 的本地 npm 包(通过 npx 运行)。可选 TRANSCRIPTFETCH_BASE_URL 覆盖 API 主机。
安装
在 SourceWeft 中
- 打开 控制台中的 TranscriptFetch,将其添加到工作区。
- 连接 所需的 凭据。它们会被私密存储,绝不会在公开页面上展示。
- 为需要使用其工具的对话启用该服务。
Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。
交给智能体安装
把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。
阅读 https://sourceweft.com/mcp/com.transcriptfetch%2Fyoutube-transcripts/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。其他 MCP 客户端
把它添加到你客户端的 mcpServers 配置中。 客户端会在首次连接时完成 OAuth 登录。
{
"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
来源:README.md,提交 d771efd
工具
0版本历史
2- v1.2.3最新Oct 23, 2026
- v1.2.2Sep 16, 2026
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