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Onto

Official

by ravixalgorithm ยท TypeScript

Clean Markdown and AI-readability scoring for any URL. Built for AI agents.

Onto MCP Server (io.github.ravixalgorithm/onto)

This MCP server provides tools for AI agents to read web pages as clean, agent-ready Markdown and to assess AI-readability. It is described as the official Onto Model Context Protocol server, intended for use in any MCP-compatible AI client.

๐Ÿ› ๏ธ Key Features

  • read_url: reads any URL and returns clean Markdown (typically 10ร— smaller than raw HTML)
  • score_url: computes an AIO (AI-readability) score with a breakdown of factors that help and hurt AI consumption
  • read_and_score: performs both clean content reading and quality assessment together

๐Ÿš€ Use Cases

  • Convert web content from a given URL into cleaned Markdown for AI agents
  • Evaluate whether a URLโ€™s content is likely to be readable/usable by AI systems
  • Obtain both the cleaned content and its AI-readability assessment in one request

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