About Supadata
Supadata is an MCP server for extracting video transcripts and metadata, scraping pages, and crawling websites. It is for AI clients that need structured information from media and web sources, including asynchronous extraction and crawl jobs.
Key features
- 01Extract transcripts from supported video URLs
- 02Retrieve media metadata
- 03Extract structured data from video
- 04Scrape single-page content
- 05Discover URLs and crawl multiple pages
Use cases
- 01Get a transcript from a video URL
- 02Collect metadata for a media item
- 03Extract content across a website
MCP support
Exposes Supadata transcript, metadata, extraction, scraping, mapping, and crawling tools to MCP clients. It runs over stdio or hosted Streamable HTTP, with OAuth 2.1 on the hosted endpoint.
Configuration
Remote servers need no local install. Pick your client, then copy the config or install in one click.
https://api.supadata.ai/mcpclaude mcp add --transport http supadata-ai https://api.supadata.ai/mcp{"mcpServers":{"supadata-ai":{"type":"http","url":"https://api.supadata.ai/mcp"}}}Open in Cursor{"servers":{"supadata-ai":{"type":"http","url":"https://api.supadata.ai/mcp"}}}Open in VS Code{"mcpServers":{"supadata-ai":{"type":"http","url":"https://api.supadata.ai/mcp"}}}{"mcpServers":{"supadata-ai":{"serverUrl":"https://api.supadata.ai/mcp"}}}Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.
https://api.supadata.ai/mcpAuth requiredTools
Details
From the project READMESupadata MCP Server
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.
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.aiDEBUG: set totruefor verbose loggingRUN_STDIO: set totrueto 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
| 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[] |
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
- Fork the repository
- Create your feature branch
- Run tests:
npm test - Submit a pull request
License
MIT License - see LICENSE file for details
Comments
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