# ravixalgorithm/Onto MCP Server

Source: https://glimind.com/server/glama%2Fravixalgorithm%2Fonto-mcp-server
Registry id: `glama/ravixalgorithm/onto-mcp-server`
Status: unknown

## Tools (6)

- `batch`: Process many URLs in one call — billed as a single request, so you don't spend a credit per URL. Give an explicit list or a base URL whose pages are auto-discov
- `extract_data`: Return the structured data a page already declares — JSON-LD, OpenGraph, and meta tags — plus the AIO score. Deterministic; no fields are inferred by a model.
- `map_site`: Discover a site's URLs (sitemap → on-page links) without reading them. Cheap — use it to plan which pages to read or batch next.
- `read_and_score`: Returns clean Markdown plus the AIO score in one call. Recommended default for agentic workflows.
- `read_url`: Returns clean Markdown for a URL with metadata about the extraction (sizes, reduction %, cache state).
- `score_url`: Returns the AIO (AI-readability) score for a URL — 0-100 with a letter grade, hallucination risk, and a structured list of penalties / benefits / recommendation

Measured by Glimind (https://glimind.com): MCP handshake + tool list only, no tool is ever called. CC BY 4.0.