Server data from the Official MCP Registry
Video transcripts, metadata and structured data from YouTube, TikTok, Instagram, X; web scraping.
About
Video transcripts, metadata and structured data from YouTube, TikTok, Instagram, X; web scraping.
Remote endpoints: streamable-http: https://api.supadata.ai/mcp
Security Report
The Supadata MCP server is a well-structured wrapper around the Supadata API that requires an API key via environment variable, uses the x-api-key header, and exposes only read-oriented tools whose network access matches its video transcript and web scraping purpose. The only notable concerns are minor: the API key length is logged on every request, error bodies are logged to console, and the README-described Cloudflare Worker and OAuth code paths were not included for review, so their security could not be verified. Supply chain analysis found 8 known vulnerabilities in dependencies (0 critical, 2 high severity).
5 files analyzed · 12 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Install & Connect
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
Documentation
View on GitHubFrom the project's GitHub README.
Supadata 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
Reviews
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