Skip to main content
Glama
MCP PageSpeed Insights

MCP PageSpeed Insights

by NicolasET

MCP PageSpeed Insights

An MCP (Model Context Protocol) server that connects LLMs to Google PageSpeed Insights. It lets AI assistants analyze any web page's performance, accessibility, SEO, and best practices — then help you act on the results.

Prerequisites

Related MCP server: MCP Server Pagespeed

Setup

git clone https://github.com/NicolasET/mcp-pagespeed-insight.git
cd mcp-pagespeed-insight
npm install
npm run build

Configuration

Add the server to your MCP client.

Claude Code (CLI)

claude mcp add pagespeed-insights -e GOOGLE_API_KEY=your_api_key_here -- node /absolute/path/to/mcp-pagespeed-insights/dist/server.js

On Windows (outside WSL), wrap with cmd /c:

claude mcp add pagespeed-insights -e GOOGLE_API_KEY=your_api_key_here -- cmd /c node C:\absolute\path\to\mcp-pagespeed-insights\dist\server.js

Scope options (add --scope before the server name):

Scope

Description

local (default)

Private to you, current project only

project

Shared with the team via .mcp.json (committed to version control)

user

Private to you, available across all projects

Example with scope:

claude mcp add --scope user pagespeed-insights -e GOOGLE_API_KEY=your_api_key_here -- node /absolute/path/to/mcp-pagespeed-insights/dist/server.js

After adding, verify with:

claude mcp list

Claude Desktop

Edit claude_desktop_config.json (Settings > Developer > Edit Config):

{
  "mcpServers": {
    "pagespeed-insights": {
      "command": "node",
      "args": ["/absolute/path/to/mcp-pagespeed-insights/dist/server.js"],
      "env": {
        "GOOGLE_API_KEY": "your_api_key_here"
      }
    }
  }
}

Other MCP clients (Cursor, Windsurf, etc.)

Refer to your client's docs for registering a stdio MCP server. The command is:

node /absolute/path/to/mcp-pagespeed-insights/dist/server.js

The GOOGLE_API_KEY environment variable must be set.

Available Tools

Tool

Description

analyze_url

Full Lighthouse analysis — all category scores, key metrics, and top improvement opportunities

get_performance_metrics

Core Web Vitals and performance scores (LCP, CLS, TBT, FCP, SI, TTI, TTFB)

get_recommendations

Prioritized improvement opportunities sorted by estimated impact

get_network_analysis

Resource breakdown by type, transfer sizes, and largest resources

get_js_analysis

JavaScript boot-up time, main thread work, and unused code

get_image_optimization

Images needing compression, modern format conversion, or lazy-loading

get_render_blocking

Render-blocking CSS/JS, critical request chains, preconnect/preload opportunities

get_third_party_impact

Third-party scripts by provider, size, blocking time, and facade opportunities

get_accessibility_issues

Accessibility score and all failing audits with affected elements

compare_strategies

Side-by-side mobile vs desktop comparison of scores and metrics

All tools accept a url parameter (required) and a strategy parameter (mobile or desktop, defaults to mobile). The analyze_url and compare_strategies tools also accept a categories array to select which Lighthouse categories to run.

Environment Variables

Variable

Required

Default

Description

GOOGLE_API_KEY

Yes

—

Your Google API key for PageSpeed Insights

CACHE_TTL_MS

No

300000 (5 min)

How long to cache API responses in milliseconds

Example Usage

Once configured, you can ask your AI assistant things like:

Development

# Run in development mode (no build needed)
npm run dev

# Type-check without emitting
npm run typecheck

# Run tests
npm test

# Run tests in watch mode
npm run test:watch

# Build for production
npm run build

License

MIT

Available Tools

10 tools
analyze_urlAnalyze URLB

Run a comprehensive Google PageSpeed Insights analysis on a URL. Returns all category scores, key performance metrics, and top improvement opportunities.

Inputs: url (required), strategy, categories.

compare_strategiesCompare StrategiesA

Compare mobile vs desktop PageSpeed Insights results side-by-side for a URL. Shows score differences across all categories and key performance metric comparisons to identify strategy-specific issues.

Inputs: url (required), categories.

get_accessibility_issuesGet Accessibility IssuesB

Get accessibility audit results for a URL. Returns the accessibility score and all failing accessibility checks grouped by impact level, with affected elements and remediation guidance.

Inputs: url (required), strategy.

get_image_optimizationGet Image OptimizationB

Get image optimization analysis for a URL. Identifies images that need compression, format conversion to modern formats (WebP/AVIF), lazy-loading opportunities for offscreen images, and unsized images causing layout shifts.

Inputs: url (required), strategy.

get_js_analysisGet JavaScript AnalysisB

Get JavaScript execution analysis for a URL. Returns JS boot-up time, main thread work breakdown, unused JavaScript, and the most expensive scripts by execution time.

Inputs: url (required), strategy.

get_network_analysisGet Network AnalysisB

Get detailed network analysis for a URL including resource breakdown by type, total transfer sizes, and the largest resources impacting load time.

Inputs: url (required), strategy.

get_performance_metricsGet Performance MetricsB

Get Core Web Vitals and key performance metrics for a URL. Returns performance score, LCP, CLS, TBT, FCP, Speed Index, TTI, and TTFB with ratings.

Inputs: url (required), strategy.

get_recommendationsGet RecommendationsA

Get prioritized performance improvement recommendations for a URL. Returns actionable opportunities sorted by estimated impact, with savings in milliseconds and bytes.

Inputs: url (required), strategy.

get_render_blockingGet Render Blocking ResourcesA

Get render-blocking resource analysis for a URL. Identifies CSS and JavaScript resources that block first paint, critical request chains, and preconnect/preload opportunities.

Inputs: url (required), strategy.

get_third_party_impactGet Third-Party ImpactB

Get third-party script impact analysis for a URL. Shows which third-party providers are loaded, their transfer sizes, main thread blocking time, and facade opportunities to defer loading.

Inputs: url (required), strategy.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    A3.7/5.0

    Scored across 10 tools

    Disambiguation4/5

    The tools mostly target distinct analysis areas (performance metrics, recommendations, network, JS, images, render blocking, third-party impact, accessibility, strategy comparison). However, analyze_url is a comprehensive tool that overlaps in purpose with several specialized get_* tools, which could cause an agent to choose it instead of a focused tool when both would satisfy a request.

    Naming Consistency5/5

    All tool names use consistent snake_case and follow a predictable verb_noun pattern, such as get_performance_metrics, get_image_optimization, compare_strategies, and analyze_url. There are no mixed conventions or unclear name styles.

    Tool Count5/5

    The server exposes 10 tools, which is well-scoped for a PageSpeed Insights integration. Each tool earns its place by covering a meaningful analysis dimension without excessive fragmentation.

    Completeness4/5

    The surface covers the core PageSpeed domains well: performance, recommendations, network, JavaScript, images, render blocking, third-party impact, accessibility, and mobile/desktop comparison. Minor gaps remain, such as dedicated SEO or best-practices audit tools, though analyze_url returns all category scores.

    Maintenance

    ActivityInactive
    ResponsivenessOutdated data

    Related MCP Connectors

    Related MCP Servers

    • A
      license
      B
      quality
      D
      maintenance
      Enables AI models to analyze webpage performance using the Google PageSpeed Insights API, providing real-time performance scores and improvement suggestions.
      1
      177 npm
      11
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI models to perform Google Lighthouse website performance analysis, including Core Web Vitals, accessibility, SEO audits, and actionable optimization recommendations. Provides comprehensive web performance insights through natural language interactions.
      2,388 npm
      4
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables AI assistants to perform comprehensive web performance analysis using Google's PageSpeed Insights API, including metrics, best practices, SEO, and accessibility audits.
      44 npm
      MIT