Enables AI agents to create, validate, and audit llms.txt files for websites, including checking against Google Lighthouse's Agentic Browsing requirements, via Streamable HTTP with no API key needed.
Enables websites to expose a first-class interface for AI agents by providing read-only MCP tools like search_site and generating llms.txt discovery files.
A server that analyzes website performance using Playwright and Lighthouse, allowing LLMs to perform web performance analysis through the Model Context Protocol.
An MCP server that enables users to fetch and audit documentation from user-defined llms.txt index files. It provides tools to list documentation sources and retrieve content from specific URLs with built-in domain access controls for secure context retrieval.
Checks a website's robots.txt and Cloudflare settings to identify AI crawler blocking. Also generates llms.txt content to improve visibility to AI answer engines.