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Yavy

Yavy turns website content into an AI knowledge base with semantic search, CLI access, portable Skills packages, and MCP servers. It helps developers and teams ground AI answers in their own docs, help content, and other published sources.

Yavy

What Yavy is

Yavy is an AI knowledge base platform that indexes website content and makes it available to AI tools through semantic search, CLI workflows, portable Skills packages, and MCP servers. It is positioned for teams that want AI answers grounded in their own documentation, help content, or other published sources.

The product crawls content sources, extracts and indexes pages, and then returns structured results that AI assistants can use directly. The site emphasizes real content over scraped summaries, with automatic discovery, fresh re-indexing, and source attribution so users can verify where an answer came from.

Core capabilities

Automatic content discovery

Yavy discovers pages from a website URL and can also work with sitemaps, recursive URL crawling, and selected source types such as GitHub, Notion, and Confluence.

Semantic search

It turns indexed content into vector embeddings so search can return concepts and related passages rather than only exact keyword matches.

Structured AI-ready context

Responses are returned in structured JSON designed for LLM consumption, which makes the output easier for agents and assistants to use directly.

Ongoing content sync

Yavy keeps content fresh with automatic re-indexing and supports different sync cadences by plan, including daily, hourly, and real-time sync.

Multiple AI access paths

Each project includes CLI access, portable Skills packages, and a unique MCP server URL so you can use the same indexed content in terminal workflows, local packages, or live assistant queries.

Secure public and private access

The site describes OAuth 2.1 authentication for secure access and separates public sources from private team content.

Where Yavy fits

  • Developer documentation search

    Index framework docs, API references, and technical guides so coding assistants can answer with current syntax and version-specific details instead of outdated patterns.

  • Knowledge base search

    Turn a help center or support documentation into an AI-searchable knowledge base so customers and support teams can find grounded answers from published content.

  • Offline project knowledge

    Use portable Skills packages when you want indexed documentation to live in the project and work offline inside local AI workflows or CI/CD jobs.

  • Live assistant access

    Connect via MCP when you want an assistant to query current content in real time and keep answers aligned with the latest indexed pages.

  • Internal documentation lookup

    Index internal wikis, onboarding guides, or policies so teams can ask questions against company content instead of relying on tribal knowledge.

Pros and Cons

Pros

  • Indexes content from websites and supports discovery through sitemaps and recursive crawling.
  • Offers multiple ways to use the indexed content, including CLI search, Skills packages, and MCP server access.
  • Uses semantic search and structured output so results are better suited to AI assistants than plain keyword matching.
  • Keeps indexed content fresh with automatic re-indexing and plan-based sync cadences.
  • Pricing starts with a free entry point on the pricing page and includes a 30-day money-back guarantee on paid plans.

Cons

  • The strongest public detail is around documentation and knowledge-base workflows; broader connector coverage and output formats are only partially documented on the site.
  • Plan limits apply to pages and MCP requests on lower tiers, so teams with larger content sets need to check the pricing table carefully.
  • Some workflows are described at a high level rather than with full setup or operational detail, especially for private content and team collaboration.

FAQ

Can I change plans later?

You can upgrade or downgrade at any time. Pricing changes take effect immediately and billing is prorated.

What happens if I reach my page limit?

The pricing page says you’ll receive a notification before reaching your page limit. You can upgrade your plan or remove unused projects to stay within limits.

Do you offer refunds?

Yavy offers a 30-day money-back guarantee on paid plans. If you are not satisfied, you can contact the team for a full refund.

How do I connect Yavy to my AI tools?

The site says every project includes CLI access, a portable Skills export, and a unique MCP server URL. The documentation also describes CLI setup, Skills packages, and live MCP search as the main ways to connect an AI assistant.

Quick Facts

Category
AI knowledge base
Primary users
Developers, teams, and documentation owners
Access methods
CLI, Skills packages, MCP server
Content sources
Websites, GitHub, Notion, Confluence
Pricing
Free entry point; paid plans start at $9/month
Website
yavy.dev