A
licenseNot graded
qualityB
maintenanceEnables auditing any website for AI-answer readiness, returning a score and actionable fix list based on llms.txt, schema, sitemap, and related checks.
MIT
AgentsReady
Server Details
Audit any website for AI agents and AI search (AEO): llms.txt, AI bots, schema. Score plus fixes.
If you are the author of this connector, you can claim ownership by verifying the domain or GitHub account it belongs to. Claimed connector authors can inspect health checks, view analytics, and manage their listing.
- Status
- Healthy
- Uptime
- 100.0% over the last 24 hours
- Last Tested
- Transport
- Streamable HTTP · MCP 2025-06-18
- URL
- ChatGPT
- –
- Claude
- –
TDQS
A3.8/5.0
Scored across 5 tools
Disambiguation3/5
check_site (live scan) and lookup_vendor (rankings) are clearly distinct, but get_checklist, get_standard, and get_fixes all revolve around 'checks and how to pass/fix them' and differ mainly in framing (grouped list vs. points rubric vs. agent task list). An agent could easily pick get_checklist when it wanted get_standard, or call get_checklist when get_fixes was the real need; the descriptions help but the boundaries remain fuzzy.
Naming Consistency5/5
All five tools follow a strict verb_noun snake_case pattern: check_site, get_checklist, get_fixes, get_standard, lookup_vendor. No mixed conventions or casing, and the verbs (check/get/lookup) map sensibly to the action performed.
Tool Count5/5
Five tools is well within the ideal 3-15 range and each maps to a distinct deliverable: a scan, a checklist, a fix plan, a scoring standard, and a vendor lookup. There is no obvious filler or redundant tool bloating the surface.
Completeness4/5
The audit-to-remediation lifecycle is covered (check_site -> get_fixes, with get_standard/get_checklist as reference and lookup_vendor for competitive context). Minor gaps: no bulk/multi-site audit, no way to bypass or refresh the 24-hour cache, and no history or comparison of prior scans, though agents can work around these.
Available Tools
5 toolscheck_siteCheck a site's agent readinessARead-onlyInspect
Audit a website for AI agents and AI search (AEO/GEO): scan it the way ChatGPT, Claude and Perplexity fetch it and score it 0-100 (60 core points plus 40 for the job). Checks robots.txt rules for AI bots, bot walls and firewalls, server-rendered content, structured data, llms.txt, sitemap, pricing and sign-up pages, OpenAPI and MCP. Returns the score, every failed check with its fix, and the checks it passed. Read-only scan, cached for 24 hours; it does not run an agent on the site.
Inputs: domain (required), job.
get_checklistThe agent readiness checklistARead-onlyInspect
The full 50-item checklist for getting recommended by AI assistants and letting their agents sign up, grouped by area, with how to pass each item. Pass kind "personal" for the list for a person's own site (portfolio, blog, GitHub Pages).
Inputs: kind.
get_fixesGet the fix prompt for a siteARead-onlyInspect
Return a ready-to-run task list for a coding agent that fixes every failed agent-readiness and AI-search check on the site (for example adding llms.txt, unblocking AI crawlers, adding structured data), biggest first, with how to verify each change. Same scan as check_site.
Inputs: domain (required), job.
get_standardHow the score worksARead-onlyInspect
Every check in the AgentsReady score with its points and fix: the 60 core points and the 40 points for each job (recommend, buy, signup, api, personal).
Inputs: no named parameters.
lookup_vendorLook up a software vendor's rankingARead-onlyInspect
Where a software vendor ranks in the AgentsReady category rankings (CRM, help desk, payments and 17 more): score, rank, bot wall, MCP server and biggest gap.
Inputs: domain (required).
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
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