Supadata 推出 MCP 服务器，支持视频转录与网页抓取

A Model Context Protocol (MCP) server that integrates with Supadata for video transcript extraction, web scraping, crawling, and site discovery.

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 setup instructions for Claude, ChatGPT, Cursor, Windsurf, VS Code, and other clients, see the integration guide.

Running

Stdio (default)

Running the package starts an MCP server on stdio. This is what MCP clients (Claude Desktop, Cursor, VS Code, Windsurf, ...) use when they spawn the server:

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

Example client configuration:

{
  "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.

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

Available Tools

Transcript (supadata_transcript)

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

Usage:

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:

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:

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:

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:

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

Scrape (supadata_scrape)

Extract content from a single URL with advanced options.

Usage:

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:

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

Crawl (supadata_crawl)

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

Usage:

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:

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

Development

# Install dependencies
npm install

# Build
npm run build

# Run tests
npm 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