This MCP server integrates Supadata's video and web scraping capabilities into an MCP interface. It supports extracting transcripts from major video platforms (YouTube, TikTok, Instagram, Twitter) and file URLs, alongside robust web scraping, crawling, and URL discovery. The server includes automatic retries and rate limiting with exponential backoff, leveraging Supadata's built-in rate limiting and batch processing for efficient parallel operations. It exposes a suite of MCP tools (transcript, transcript status, scrape, map, crawl, and crawl status) to enable both synchronous and asynchronous data collection, discovery, and content extraction. Configuration is flexible and can be driven by environment variables (e.g., SUPADATA_API_KEY) across multiple deployment contexts, including Cursor, Windsurf, Smithery, VS Code, Claude Desktop, and other integration points. The default configuration outlines retry behavior and backoff, and guidance is provided for handling large crawl responses with sensible limits. Outputs are returned in text/markdown/html formats where applicable, with job IDs and status endpoints to monitor long-running tasks. Designed for developers and makers needing reliable video transcripts and site-wide data for analysis, automation, and content workflows.