
AgenticWebScore measures how well a public website serves AI agents.
One scan runs 60 checks from the outside, the way a crawler or an agent reaches the site: robots.txt and AI crawler rules; sitemaps, headings and structured data; HTTP caching and real 404s; markdown negotiation and llms.txt; OpenAPI and MCP servers. Each check returns its status, the evidence it read, the source it follows, and a shell command that repeats the measurement.
https://agenticwebscore.com/mcpCall with a domain to measure it, or to read a stored scan record without a new scan. returns the record as markdown, or one check of it. lists the scored and unscored checks of the rubric. New scans are limited to 10 per client per minute and 3 running at once.
None in the store listings or on the server