About AgentFeeder

Turn any site or docs into a clean, always-fresh feed that agents can actually read.

What we do

A feed layer. Point it at a domain and it produces and continuously maintains clean machine-readable representations: llms.txt and llms-full.txt, a hosted MCP resource server, per-page markdown with stable anchors, structured changelog and version metadata, and an embeddings-ready index. It re-crawls on change, diffs, and notifies. For the publisher it is a way to control how AI represents them. For the consumer it is a source that does not need parsing.

Who we built it for

• Developer-tools and SaaS companies

  Vendors with documentation who want AI assistants to get their pricing, API version and limits right.

• Content businesses

  Publishers who want control over how AI represents what they publish.

• Agent builders

  Developers who need reliable sources and are tired of scraping HTML for three paragraphs of substance.

The problem

An AI assistant asked about a product answers from a stale crawl of a JavaScript-rendered marketing site and gets the pricing, the API version and the limits wrong.

The vendor has no way to correct it.

Meanwhile agent builders burn tokens scraping HTML full of navigation and cookie banners to extract three paragraphs of substance.

Try it before anything else

The free agent readability check runs in your browser with no account. Answer questions about your site and docs, and see where an agent would have to guess. Open it.