GetWeb

Integrates DuckDuckGo, Google Search, Felo AI, and Jina Reader APIs to provide web search, content extraction, and HTML-to-Markdown conversion with caching, user agent rotation, and configurable text filtering for reliable web research and information retrieval.

MCP-GetWeb server by Ivan Mezentsev provides AI assistants with comprehensive web search and content extraction capabilities through seven specialized tools integrating DuckDuckGo HTML scraping, Google Programmable Search Engine API, Felo AI search, Jina Reader API, and custom URL fetching with content extraction controls. Built in Rust with extensive caching, user agent rotation, and robust error handling, the implementation offers both basic web search across multiple engines and advanced content processing including metadata extraction, HTML-to-Markdown conversion, and configurable text extraction with main content detection and tag filtering. Designed for AI applications requiring reliable web research capabilities, real-time information retrieval, and flexible content processing workflows where multiple search engines and extraction methods provide redundancy and specialized functionality for different types of web content.