scavio-ai/scavio-mcp
by Various
Production ready MCP server with real-time search & extract in Google, Amazon, YouTube, Walmart, Reddit, TikTok and Instagram
MCP
scavio-ai/scavio-mcp
Added 11 June 2026
Overview
A production-ready MCP server that provides real-time search and data extraction from Google, Amazon, YouTube, Walmart, Reddit, TikTok, and Instagram. It is built in TypeScript and designed for developers who need to integrate live web data into their applications.
Best for
Best for
Developers needing a quick, multi-platform web scraping MCP server
Use cases
- Scrape product listings and prices from Amazon and Walmart
- Extract trending content and comments from Reddit and TikTok
- Search and retrieve structured data from Google and YouTube
How to use
Install
claude mcp add scavio -e SCAVIO_API_KEY=YOUR_SCAVIO_API_KEY -- npx -y @scavio/mcp-server Tools exposed
search_googlesearch_youtubeget_youtube_metadatasearch_amazonget_amazon_productsearch_walmartget_walmart_productget_tiktok_profileget_tiktok_user_postsget_tiktok_videoget_tiktok_video_commentsget_tiktok_comment_repliessearch_tiktok_videossearch_tiktok_usersget_tiktok_hashtagget_tiktok_hashtag_videosget_tiktok_user_followersget_tiktok_user_followingsget_instagram_profileget_instagram_user_posts
Tested with
Claude Desktop, Claude Code, Cursor, Windsurf, Cline, VS Code, ChatGPT
Notes
A production-ready MCP server that provides real-time search and data extraction from Google, Amazon, YouTube, Walmart, Reddit, TikTok, and Instagram. It is built in TypeScript and designed for developers who need to integrate live web data into their applications.
3 stars on GitHub. Last updated 2026-06-11. Licensed MIT.
Use cases
- Scrape product listings and prices from Amazon and Walmart
- Extract trending content and comments from Reddit and TikTok
- Search and retrieve structured data from Google and YouTube
Pros
- Supports multiple major platforms out of the box
- Real-time extraction with a production-ready MCP server
- Written in TypeScript for type safety and easy integration
Cons
- Low community traction with only 3 GitHub stars
- Limited documentation or support for custom configurations
- May require additional handling for rate limits or anti-bot measures
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Supports multiple major platforms out of the box
- Real-time extraction with a production-ready MCP server
- Written in TypeScript for type safety and easy integration
Cons
- Low community traction with only 3 GitHub stars
- Limited documentation or support for custom configurations
- May require additional handling for rate limits or anti-bot measures
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
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