PageLens AI

pagelens-ai/pagelensai-mcp-server

Plugs Claude or Cursor directly into PageLens AI's audit engine over OAuth. You get tools to list domains, pull scan results, filter findings by severity or category, and surface quick wins ranked by impact and effort. The get_scan tool returns full reports including executive summaries and per-persona reviews, while QA Audit scans expose journey replays and blocked action analysis. You can flag false positives or acknowledge intentional tradeoffs without hiding findings from the report. Useful when you want an agent to triage website issues during a refactor, prioritize fixes before launch, or explain why a security header is missing by design. No local install, just point your MCP client at the remote endpoint and authorize.

GitHub stars: 1
tools: 4
transport: HTTP
last updated: Apr 23, 2026

View on GitHub

Tools

4 tools

Public tool metadata for what this MCP can expose to an agent.

whoamiConfirm which PageLens account this MCP session is operating on, plus granted OAuth scopes.

Confirm which PageLens account this MCP session is operating on, plus granted OAuth scopes.

No parameter schema in public metadata yet.

list_domainsList the domains you've verified ownership of, along with badge tier and the scan currently anchored to the public badge.

List the domains you've verified ownership of, along with badge tier and the scan currently anchored to the public badge.

No parameter schema in public metadata yet.

list_scansList your most recent PageLens scans. Filter by status, domain, or date. Returns a slim summary per scan (id, URL, score, grade, severity counts, and `launchVerdict`).

List your most recent PageLens scans. Filter by status, domain, or date. Returns a slim summary per scan (id, URL, score, grade, severity counts, and `launchVerdict`).

No parameter schema in public metadata yet.

get_scanRead the full summary for a single scan: score, grade, owner-first `launchVerdict`, severity counts, launch context, executive summary, top-5 highest-priority findings, and per-persona reviews.

Read the full summary for a single scan: score, grade, owner-first `launchVerdict`, severity counts, launch context, executive summary, top-5 highest-priority findings, and per-persona reviews.

No parameter schema in public metadata yet.

Readme

PageLens AI - MCP Server

Connect PageLens AI reports to Claude Desktop, Cursor, Codex, and other MCP clients so your AI assistant can understand what failed, why it matters, and what to fix next.

An MCP (Model Context Protocol) server that gives AI agents direct access to PageLens AI - the independent launch reviewer for AI-built websites. PageLens AI turns launch risk across UX, SEO, Performance, Accessibility, Security, Conversion, and QA journey audits into plain-English priorities and agent-ready fix context.

Plug it into Cursor, Claude Desktop, Codex, or any MCP-compatible client and your agent can read scan results, drill into findings, surface quick wins, record owner decisions, and help close the fix loop without leaving the IDE.

MCP Endpoint

https://www.pagelensai.com/api/mcp

This is a remote MCP server — no local install required.

Which PageLens Path Is This?

View the full README on GitHub

Details

Repository: github.com/pagelens-ai/pagelensai-mcp-server
Website: www.pagelensai.com/mcp
Categories: Sales & Marketing, Security & Pentesting
Transport: HTTP
Registry: MCP registry, active

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