Yavy

Product Introduction

1. Definition: Yavy is an AI knowledge infrastructure platform (technical category: MCP server solution) that transforms public websites into Machine-Context Protocol (MCP)-compatible data sources. It automates crawling, indexing, and serving of web content via standardized APIs for AI agents.
2. Core Value Proposition: Yavy eliminates AI hallucinations and manual data transfers by enabling real-time, accurate information retrieval from live websites. Its primary keywords include MCP server integration, semantic search for AI, and zero-config knowledge base.

Main Features

1. AI-Ready Indexing Engine: Automatically discovers, parses, and structures website content using recursive URL crawling and sitemap.xml analysis. Extracts text, metadata, and hierarchical relationships, then indexes data using vector embeddings (e.g., sentence-transformers) for semantic search.
2. MCP Protocol Server: Serves indexed content via HTTP-based MCP endpoints compatible with tools like Claude, Cursor, and OpenAI. Delivers JSON-formatted responses with relevance scores, snippets, and source URLs, enabling precise LLM context injection.
3. Live Sync Technology: Continuously monitors source websites for changes via millisecond-level checks. Propagates updates instantly across all connected AI tools, ensuring answers reflect real-time content (e.g., pricing page edits or API doc revisions).
4. Semantic Search API: Uses cosine similarity and vector databases to resolve conceptual queries (e.g., "pricing tiers for startups" matches "/blog/announcing-new-pricing"). Supports filters, allow/deny rules, and OAuth 2.1 for private repositories.

Problems Solved

1. Pain Point: Prevents AI hallucination by grounding responses in verified, current website data—critical for accuracy in developer docs, support bots, and compliance-sensitive domains.
2. Target Audience:
   • Developer teams building AI-enhanced IDEs or CLI tools
   • Technical writers managing documentation portals (e.g., Docusaurus, ReadTheDocs)
   • Product managers maintaining help centers or competitive intelligence dashboards
3. Use Cases:
   • Customer support bots answering queries using real-time knowledge base content
   • AI coding assistants pulling context from SDK documentation during development
   • Automated monitoring of competitor blogs/documentation for change alerts

Unique Advantages

1. Differentiation: Unlike static scrapers (e.g., manual Selenium scripts), Yavy offers MCP-native integration, structured JSON outputs for LLMs, and sub-second sync—outpacing alternatives like Apify or Diffbot in AI-readiness.
2. Key Innovation: Patented semantic indexing combines recursive crawling with transformer-based embeddings, enabling concept-based search beyond keyword matching. MCP protocol standardization ensures plug-and-play compatibility with 50+ AI tools.

Frequently Asked Questions (FAQ)

1. How does Yavy handle authentication for private websites?
   Yavy uses OAuth 2.1 to securely index password-protected content from platforms like Confluence or GitHub, with granular access controls for team members.
2. What counts as a "page" in Yavy's pricing tiers?
   Each unique URL crawled (e.g., /pricing, /docs/v1/install) constitutes one page. Redirects, assets, or blocked URLs don’t count toward limits.
3. Can Yavy index JavaScript-heavy SPAs (Single-Page Applications)?
   Yes, Yavy’s crawler executes JavaScript to extract dynamically rendered content from React, Angular, or Vue.js sites, ensuring comprehensive coverage.
4. How quickly do AI tools reflect content updates after a sync?
   Changes appear in MCP search results within milliseconds on Pro/Team plans, while Free/Starter tiers update within 24 hours.
5. Does Yavy support non-English websites?
   Yes, multilingual semantic search works for 15+ languages (including Spanish, German, Japanese) via language-agnostic embeddings.