This MCP server implementation provides a local web search capability, integrating with a headless browser to perform Google searches and extract content from web pages. Developed by Frad Lee, it offers features such as customizable search queries, result limiting, domain exclusion, and content truncation. The server uses the Readability library to clean and parse web content, converting it to markdown format. It's designed for AI assistants and other MCP-compatible clients that require up-to-date web information without direct internet access. The implementation is particularly useful for tasks like research, content aggregation, and information retrieval across various domains.
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Highlight AIPerforms web search and returns results with title, URL and description. Parameters: query (required), excludeDomains (optional, default: []), limit (optional, default: 5), truncate (optional, default: 4000), show (optional, default: false), proxy (optional)
