Yavy

Yavy transforms any website into an AI-ready knowledge base that can be queried by AI assistants through the Model Context Protocol (MCP). The platform crawls, parses, and indexes web content, making it semantically searchable so AI agents can retrieve accurate, contextual answers directly from your documentation, blogs, or knowledge bases without hallucinations.

• Semantic Search uses AI-powered vector embeddings to find content based on meaning rather than exact keyword matches, enabling AI assistants to locate relevant information even when query terms differ from the source content.

• MCP Native Integration acts as a bridge between your website and LLMs, providing a standard MCP server endpoint that works with Claude, ChatGPT, Cursor, and any MCP-compatible client for seamless AI tool connectivity.

• Live Sync automatically monitors your content for changes and propagates updates in milliseconds, with sync frequencies ranging from daily to real-time depending on your plan.

• Structured Context returns data in clean JSON format optimized for LLM consumption, ensuring consistent and reliable responses every time.

• Zero Config Setup offers automatic URL discovery and indexing through sitemap-based crawling and recursive URL discovery, supporting any static site generator or CMS.

• Flexible Access Control provides public sources for open content and OAuth 2.1 authentication for private documentation with enterprise-grade security.

• Content Filtering allows configuration of allow/deny patterns to control exactly which pages are crawled and indexed.

To get started, simply provide your website URL and Yavy begins discovering and indexing pages immediately. Most sites become fully searchable within minutes. Copy your unique MCP server URL from the dashboard and add it to your AI tool's configuration file. The platform supports various use cases including AI knowledge bases, customer support agents, and content intelligence for monitoring competitor websites and documentation.