Supadata

io.github.supadata-ai由 GitHub 帳號 supadata-ai 發布v1.3.6更新於 Oct 24, 2026

Video transcripts, metadata and structured data from YouTube, TikTok, Instagram, X; web scraping.

已驗證Streamable HTTP可網頁執行網頁搜尋與抓取媒體與設計

概覽

AI 產生的概覽

Supadata 讓助理取得 YouTube、TikTok、Instagram、X 的影片逐字稿與媒體中繼資料,並可擷取、對應與爬取網頁。

可以做什麼
  • 從支援的影片平台與檔案網址擷取逐字稿,並查詢逐字稿任務狀態
  • 取得媒體中繼資料,例如標題、描述、作者、互動數據與標籤
  • 以提示詞或 JSON Schema 透過 AI 從影片內容擷取結構化資料,並查詢任務狀態
  • 擷取單一已知網址的頁面內容,輸出 markdown 或 HTML
  • 探索網站上已建立索引的網址,並以非同步方式爬取多個頁面及查詢進度
適用情境
適合需要影片文字內容、社群貼文細節,或需要讀取、摘要與分析網頁內容的情境。可用於研究、內容監測與資料蒐集等原本需人工複製的工作。
執行需求
可使用 api.supadata.ai/mcp 遠端端點並以 OAuth 登入,或使用 x-api-key 標頭;也可透過 npx 在本機以 stdio 執行,需設定 SUPADATA_API_KEY 環境變數。需要 Supadata 帳號,OAuth 連線在 30 天未使用後會過期。
安裝前請注意
需要 Supadata 帳號與 API 憑證,用量可能依 Supadata 方案計費,請先確認額度。擷取、對應與爬取會將目標網址傳送至 Supadata 伺服器,擷取功能會把影片內容送去 AI 處理。逐字稿與擷取任務為非同步執行,需依任務 ID 輪詢結果。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Supadata,將其新增到工作區。
  2. 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。
  3. 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/io.github.supadata-ai%2Fmcp/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。

檢視代理程式所依據的安裝指南

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": {
    "supadata": {
      "type": "http",
      "url": "https://api.supadata.ai/mcp"
    }
  }
}

README

Supadata MCP Server

[supadata-ai/mcp MCP server]

Use Supadata in your AI agent: video transcripts, media metadata, web scraping, crawling, and site discovery. This repository is the Supadata MCP server (Model Context Protocol), which AI agents like Claude, ChatGPT and Cursor use to call Supadata.

Add to your AI agent

[Add to Claude] [Add to ChatGPT] [Add to Cursor]

Click a button, then sign in with your Supadata account. No API key to copy.

  • Claude: click Add to Claude, click Connect and sign in. Works in claude.ai, Claude Desktop and the mobile apps. On Team/Enterprise plans an Owner enables Supadata first in Admin settings → Connectors.
  • ChatGPT: click Add to ChatGPT, click Connect and sign in.
  • Cursor: click Add to Cursor, confirm Install, and Cursor opens the Supadata sign-in page.

Claude Code / Codex

bash
# Claude Code: then run /mcp and choose Authenticateclaude mcp add --transport http supadata https://api.supadata.ai/mcp
# Codexcodex mcp add supadata --url https://api.supadata.ai/mcpcodex mcp login supadata

Other MCP clients can connect to the hosted server at https://api.supadata.ai/mcp (OAuth, or an x-api-key header), or run the local server below.

Features

  • Video transcript extraction from YouTube, TikTok, Instagram, Twitter, and file URLs
  • Web scraping, crawling, and URL discovery
  • Media metadata retrieval from YouTube, TikTok, Instagram, and Twitter
  • AI-powered structured data extraction from video content

Installation

For step-by-step setup in Claude, ChatGPT, Cursor, Claude Code, Codex, Windsurf, VS Code and other AI agents, see the AI agents guide.

Running

Stdio (default)

Running the package starts an MCP server on stdio. Use this when your AI agent should spawn the server locally with your API key instead of using the hosted server (for example a custom agent, or VS Code / Windsurf config files):

bash
SUPADATA_API_KEY=your-api-key npx -y @supadata/mcp

Example client configuration:

json
{  "mcpServers": {    "supadata": {      "command": "npx",      "args": ["-y", "@supadata/mcp"],      "env": { "SUPADATA_API_KEY": "your-api-key" }    }  }}

Streamable HTTP (hosted)

The same tools are served over Streamable HTTP by the Cloudflare Worker in src/worker.ts, deployed at https://api.supadata.ai/mcp with OAuth 2.1. Run it locally with npm run dev (wrangler). Direct x-api-key header authentication is also accepted on /mcp.

An OAuth connection stays alive while it is used and expires after 30 days without use. Then clients have to log in again; Codex keeps retrying the expired login instead of asking, so run codex mcp login supadata if Supadata tools stop working in Codex.

Configuration

Environment Variables

  • SUPADATA_API_KEY: Your Supadata API key (required for the stdio server). Get one at dash.supadata.ai
  • DEBUG: set to true for verbose logging
  • RUN_STDIO: set to true to force the stdio server to start when the module is imported rather than executed directly

How to Choose a Tool

Select the right tool based on your needs:

  • Transcript: Extract video transcripts from platforms and file URLs
  • Scrape: Extract content from a single page when you know the exact URL
  • Map: Discover all available URLs on a website
  • Crawl: Extract content from multiple related pages comprehensively
  • Metadata: Fetch metadata from media URLs (YouTube, TikTok, Instagram, Twitter)
  • Extract: Extract structured data from video content using AI
ToolBest forReturns
transcriptVideo transcript extractiontext/markdown
metadataMedia metadata retrievalJSON object
extractAI-powered structured extractionJSON object
scrapeSingle page contentmarkdown/html
mapURL discovery on a siteURL[]
crawlMulti-page extractionmarkdown/html[]

Available Tools

Transcript (supadata_transcript)

Extract transcripts from supported video platforms (YouTube, TikTok, Instagram, Twitter) and file URLs.

Usage:

bash
supadata_transcript --url "https://youtube.com/watch?v=example" --lang "en"

Check Transcript Status (supadata_check_transcript_status)

Check the progress of a transcript extraction job using the job ID.

Usage:

bash
supadata_check_transcript_status --id "550e8400-e29b-41d4-a716-446655440000"

Metadata (supadata_metadata)

Fetch metadata from a media URL on supported platforms (YouTube, TikTok, Instagram, Twitter). Returns platform info, title, description, author details, engagement stats, media details, tags, and creation date.

Usage:

bash
supadata_metadata --url "https://youtube.com/watch?v=example"

Extract (supadata_extract)

Extract structured data from a video URL using AI. Provide a prompt for what to extract, a JSON Schema for the output format, or both. Returns a job ID for async processing.

Usage:

bash
supadata_extract --url "https://youtube.com/watch?v=example" --prompt "Extract the main topics discussed"

Check Extract Status (supadata_check_extract_status)

Check the progress of an extract job using the job ID.

Usage:

bash
supadata_check_extract_status --id "550e8400-e29b-41d4-a716-446655440000"

Scrape (supadata_scrape)

Extract content from a single URL with advanced options.

Usage:

bash
supadata_scrape --url "https://example.com" --lang "en"

Map (supadata_map)

Discover all indexed URLs on a website to find relevant pages before scraping.

Usage:

bash
supadata_map --url "https://example.com"

Crawl (supadata_crawl)

Start an asynchronous crawl job to extract content from multiple pages on a site.

Usage:

bash
supadata_crawl --url "https://example.com/blog" --limit 100

Check Crawl Status (supadata_check_crawl_status)

Check the progress of a crawl job using the job ID.

Usage:

bash
supadata_check_crawl_status --id "550e8400-e29b-41d4-a716-446655440000"

Development

bash
# Install dependenciesnpm install
# Buildnpm run build
# Run testsnpm test

Contributing

  1. Fork the repository
  2. Create your feature branch
  3. Run tests: npm test
  4. Submit a pull request

License

MIT License - see LICENSE file for details

來源:README.md,提交 ae23ee6

工具

0
該伺服器需要登入,因此 SourceWeft 無法在沒有帳號的情況下讀取其工具,也未收錄。已連接帳號所能看到的內容可能因帳號及其權限而異。

版本歷史

2
  1. v1.3.6最新Oct 23, 2026
  2. v1.3.2Oct 13, 2026

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