Yavy turns any website into an AI-searchable knowledge base, ensuring that answers come from actual content instead of generating inaccuracies. By crawling and embedding content pages, Yavy allows AI agents to access relevant information through structured searches. Users can connect their websites via a live MCP (Managed Cloud Platform) connection or use a portable Skills package for integration into their projects. The process consists of three straightforward steps: inputting the website URL, parsing the content for meaningful information, and indexing it into a searchable format. Once indexed, teams can use Yavy’s LiveMCP server for real-time queries or export a Skills package for offline use. Yavy supports various authentication methods, including OAuth 2.1 for secure access to private sources, while public sources can be accessed instantly. Yavy offers a structured response format, returning data in JSON that’s optimized for large language models. The service is designed to improve accuracy in AI responses, particularly for customer service scenarios. For instance, instead of generating incorrect information about refund policies, an AI can now provide answers linked directly to the help center’s source articles. Yavy is flexible, with simple pricing plans and a 30-day money-back guarantee, making it accessible for teams looking to enhance their AI capabilities.