AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
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一分钟完成验证Official Supadata MCP Server - Adds powerful video & web scraping to Cursor, Claude and any other LLM clients.
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取自仓库 README
正在加载完整 README。 以下为已保存的摘录。
A Model Context Protocol (MCP) server that integrates with Supadata for video transcript extraction, web scraping, crawling, and site discovery.
• 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
For setup instructions for Claude, ChatGPT, Cursor, Windsurf, VS Code, and other clients, see the integration guide.查看完整 README ↗A Model Context Protocol (MCP) server that integrates with Supadata for video transcript extraction, web scraping, crawling, and site discovery.
For setup instructions for Claude, ChatGPT, Cursor, Windsurf, VS Code, and other clients, see the integration guide.
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" }
}
}
}
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.
SUPADATA_API_KEY: Your Supadata API key (required for the stdio server). Get one at dash.supadata.aiDEBUG: set to true for verbose loggingRUN_STDIO: set to true to force the stdio server to start when the module is imported rather than executed directlySelect the right tool based on your needs:
| Tool | Best for | Returns |
|---|---|---|
| transcript | Video transcript extraction | text/markdown |
| metadata | Media metadata retrieval | JSON object |
| extract | AI-powered structured extraction | JSON object |
| scrape | Single page content | markdown/html |
| map | URL discovery on a site | URL[] |
| crawl | Multi-page extraction | markdown/html[] |
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"
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"
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"
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"
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"
supadata_scrape)Extract content from a single URL with advanced options.
Usage:
supadata_scrape --url "https://example.com" --lang "en"
supadata_map)Discover all indexed URLs on a website to find relevant pages before scraping.
Usage:
supadata_map --url "https://example.com"
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
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"
# Install dependencies
npm install
# Build
npm run build
# Run tests
npm test
npm testMIT License - see LICENSE file for details