DeveloperWebMCP verified
agent-ready.dev WebMCP tools
Score any website against the Vercel Agent Readability Spec and llmstxt.org standard. Get actionable fixes to make your site AI-agent friendly.
3 tools1 methodsspec API surface
What can an agent do with agent-ready.dev WebMCP tools?
Score any website against the Vercel Agent Readability Spec and llmstxt.org standard. Get actionable fixes to make your site AI-agent friendly. This page documents every listed tool, the action or answer it provides, its installation command, and the input fields an agent should send.
WebMCP tools on agent-ready.dev
scan_site
Scan a public website for AI agent-readability against the Vercel Agent Readability Spec, llmstxt.org, and agent-protocol manifests. Returns a 0–100 score, the llms.txt score, and the top failing checks with a link to the full per-check report.
How to install
Open the agent-ready.dev website and ask your browser agent to use scan_siteInstall browse first, then run the command in a terminal. WebMCP tools run directly on the website and do not need a package install.
Run with an agent
Use the scan_site tool on agent-ready.dev with url: <string>. Return the structured result and cite the source page.Input contract
urlstring The public URL to scan, e.g. the linked page
get_scan
Fetch a previously run Agent Ready scan by its id (shareToken) and return the score summary. Use to re-read a result or poll a scan that was still running.
How to install
Open the agent-ready.dev website and ask your browser agent to use get_scanInstall browse first, then run the command in a terminal. WebMCP tools run directly on the website and do not need a package install.
Run with an agent
Use the get_scan tool on agent-ready.dev with id: <string>. Return the structured result and cite the source page.Input contract
idstring The scan id / shareToken.
ask
Natural-language search (NLWeb /ask) over Agent Ready's own content — scoring methodology, the check registry, the specs it validates, and the content library (explainers, comparisons, how-to guides, glossary). Returns Schema.org-typed results. Optional itemType narrows the corpus; mode 'summarize' adds an extractive summary.
How to install
Open the agent-ready.dev website and ask your browser agent to use askInstall browse first, then run the command in a terminal. WebMCP tools run directly on the website and do not need a package install.
Run with an agent
Use the ask tool on agent-ready.dev with q: <string>, itemType: <string>, mode: <string>. Return the structured result and cite the source page.Input contract
qstring The natural-language question.itemTypestring Narrow the search to one corpus type (default: any).modestring list (default) or summarize for an extractive summary.