Argus Search is an MCP (Model Context Protocol) server designed for AI agents and assistants to perform multi-provider web search and content extraction in a unified, cost-optimized way. It aggregates searches from SearXNG, DuckDuckGo, GitHub, Brave, Tavily, Exa, and more, intelligently routing queries to maximize free search capacity and budget limits, and supports advanced modes like research, discovery, recovery, and grounding. Argus also offers robust content extraction and dead URL recovery, making it ideal for AI tools, RAG (retrieval-augmented generation) systems, and agent frameworks that require high-reliability, up-to-date search and content access.
Visit Argus Search's official website for product details and getting started.