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pagespeed-insights-mcp

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    Enables AI models to analyze webpage performance using the Google PageSpeed Insights API, providing real-time performance scores and improvement suggestions.
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    This MCP server integrates Google PageSpeed Insights to analyze website performance, accessibility, best practices, SEO, and PWA on mobile and desktop, returning detailed audits and optimization opportunities.
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TDQS

A4.4/5.0

Scored across 8 tools

Disambiguation3/5

Several tools cluster around the same PageSpeed analysis: report explicitly includes scores and failing findings, overlapping with check_pagespeed and diagnose_page, and diagnose/diagnose_page share a confusing prefix. The descriptions are detailed enough to mostly separate use cases, but the boundaries are not crisp.

Naming Consistency3/5

The set mixes verb_noun names like check_pagespeed, diagnose_page, explain_lcp, and check_status with bare verbs like report, compare, and diagnose, plus the noun phrase field_data. The snake_case style is consistent and readable, but there is no uniform action-object convention and the diagnose/diagnose_page pair is easy to confuse.

Tool Count5/5

Eight tools is well-scoped for a PageSpeed Insights server: core measurement, full reporting, focused diagnostics, field data, LCP explanation, before/after comparison, configuration checking, and job polling all fit. The count is neither bloated nor thin.

Completeness5/5

The surface covers the key workflows: measuring performance, diagnosing failing audits, retrieving real-user field data, explaining LCP, comparing changes, checking configuration, and collecting long-running jobs. There are no obvious dead ends or major missing operations for this domain.

Maintenance

ActivityActive
ResponsivenessNo issues