PageSpeed Insights MCP Server
Provides web performance analysis using Google PageSpeed Insights API, including Lighthouse audits, Chrome UX Report data, and tools for analyzing page speed, mobile/desktop performance, recommendations, cache management, and detailed diagnostics like visual analysis, network waterfalls, and third-party script impact.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@PageSpeed Insights MCP Serveranalyze https://example.com performance"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
PageSpeed Insights MCP Server
16-tool MCP server for Google PageSpeed Insights & Chrome UX Report APIs. Analyze, compare, and optimize web performance directly through Claude, Cursor, or any MCP-compatible AI client.
🎬 View Interactive Demo → — See all 16 tools in action with animated examples Fallback URL: https://ruslanlap.github.io/pagespeed-insights-mcp/demo.html
📖 Table of Contents
⚡ Quick Start (Copy & Paste)
Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"pagespeed-insights": {
"command": "npx",
"args": ["-y", "-p", "pino-pretty", "-p", "pagespeed-insights-mcp", "pagespeed-insights-mcp"],
"env": {
"GOOGLE_API_KEY": "your-google-api-key-here"
}
}
}
}Codex / OpenAI
Add to your configuration (TOML):
[mcp_servers.pagespeed-insights]
command = "npx"
args = [
"-y",
"-p",
"pino-pretty",
"-p",
"pagespeed-insights-mcp",
"pagespeed-insights-mcp"
]
env = { GOOGLE_API_KEY = "your-google-api-key-here" }Note: The
pino-prettypackage is required for proper log formatting. The above configurations ensure it is installed automatically vianpx.
For Grok Build (config.toml)
Add to ~/.grok/config.toml (global) or <repo>/.grok/config.toml (project-scoped, higher priority):
[mcp_servers.pagespeed-insights]
command = "npx"
args = ["-y", "-p", "pino-pretty", "-p", "pagespeed-insights-mcp", "pagespeed-insights-mcp"]
env = { GOOGLE_API_KEY = "${GOOGLE_API_KEY}" }
enabled = true
# Recommended companion professional MCPs (add once):
# [mcp_servers.github] — PRs, issues, code search
# [mcp_servers.context7] — fresh library docs (Upstash)
# [mcp_servers.serena] — semantic code intelligence (uses your .serena/ if present)Project-scoped example (put in this repo's .grok/config.toml for local dist/index.js + tighter Serena):
[mcp_servers.pagespeed-insights]
command = "node"
args = ["/home/ubuntuvm/Projects/pagespeed-insights-mcp/dist/index.js"]
env = { GOOGLE_API_KEY = "${GOOGLE_API_KEY}", NODE_ENV = "development" }Verification inside Grok session:
/mcps(or Ctrl+L → MCP tab) → ensure pagespeed-insights shows "running"Use tools:
pagespeed-insights__analyze_page,pagespeed-insights__get_crux_dataetc. (namespaced)
📚 Documentation
We have comprehensive documentation available online.
👉 View Full Documentation Site
You can also view the raw markdown files in the
docs/directory or runmkdocs servelocally.
✨ Features
Core Features
🚀 Performance Analysis of web pages using Google PageSpeed Insights
📱 Multi-platform Support: mobile and desktop devices
🔍 Detailed Lighthouse Reports with comprehensive metrics
📊 Simplified Reports with key performance indicators
🎯 Smart Recommendations with priority scoring and actionable fixes
💾 Intelligent Caching to reduce API calls and improve performance
🌍 Localization - support for multiple languages
⚡ Quick Installation - one command setup
🐳 Docker Support for containerized deployment
Advanced Analysis Tools (New!)
📸 Visual Analysis - Screenshots, filmstrip, and full-page captures
🎯 Element-Level Debugging - Find specific DOM elements causing issues
🌐 Network Waterfall - Detailed request timing and resource loading
⚡ JavaScript Profiling - Execution breakdown and unused code detection
🖼️ Image Optimization - Specific image issues with exact savings
🚫 Render-Blocking Analysis - Critical request chains and dependencies
🔌 Third-Party Impact - Script impact grouped by provider
📊 Full Audits - Complete Lighthouse audits for all categories
🚀 Quick Installation
Option 1: Automatic Installation (Recommended)
# Set environment variable
export GOOGLE_API_KEY=your-google-api-keycurl -sSL https://raw.githubusercontent.com/ruslanlap/pagespeed-insights-mcp/master/scripts/install.sh | bashOption 2: Via npm or GitHub Packages
From npm (Public Registry)
# Global installation from npm
npm install -g pagespeed-insights-mcp
# Or use without installation
npx pagespeed-insights-mcpFrom GitHub Packages
# First configure authentication (see GITHUB_PACKAGES.md for details)
# Then install globally
npm install -g @ruslanlap/pagespeed-insights-mcpNote: This package is available on both npm and GitHub Packages.
For npm: Use
npm install pagespeed-insights-mcpFor GitHub Packages: Use
npm install @ruslanlap/pagespeed-insights-mcp(requires GitHub authentication)For detailed instructions on installing from GitHub Packages, see GITHUB_PACKAGES.md or visit the GitHub Packages page
🔧 Configuration
The MCP server requires a Google API key to access the PageSpeed Insights API.
# Set environment variable
export GOOGLE_API_KEY=your-google-api-key
# Windows
$env:GOOGLE_API_KEY="your-google-api-key"
# Or pass directly when running
GOOGLE_API_KEY=your-google-api-key npx pagespeed-insights-mcp📝 MCP Configuration Examples
For Claude Desktop (with pino-pretty logging):
"pagespeed-insights": {
"command": "npx",
"args": [
"-y",
"-p",
"pino-pretty",
"-p",
"pagespeed-insights-mcp",
"pagespeed-insights-mcp"
],
"env": {
"GOOGLE_API_KEY": "your-google-api-key-here"
}
}For Codex (with pino-pretty logging):
[mcp_servers.pagespeed-insights]
command = "npx"
args = [
"-y",
"-p",
"pino-pretty",
"-p",
"pagespeed-insights-mcp",
"pagespeed-insights-mcp"
]
env = { GOOGLE_API_KEY = "your-google-api-key-here" }Note: These examples include
pino-prettyfor better log formatting. For production use without pretty logs, see the Logging section below.
Claude Desktop Configuration
To use this MCP server with Claude Desktop, add the following to your Claude Desktop configuration file:
{
"mcpServers": {
"pagespeed-insights": {
"command": "npx",
"args": ["-y", "-p", "pino-pretty", "-p", "pagespeed-insights-mcp", "pagespeed-insights-mcp"],
"env": {
"GOOGLE_API_KEY": "your-google-api-key-here"
}
}
}
}Example configuration files are available in the examples directory.
Option 3: Docker
docker build -t pagespeed-insights-mcp .
docker run -e GOOGLE_API_KEY=your-key pagespeed-insights-mcp🔑 Getting Google API Key
Go to Google Cloud Console
Create a new project or select an existing one
Enable PageSpeed Insights API:
Navigate to "APIs & Services" → "Library"
Search for "PageSpeed Insights API" and enable it
Create an API key:
Go to "APIs & Services" → "Credentials"
Click "Create Credentials" → "API Key"
Copy the generated key
⚙️ Claude Desktop Configuration
Automatic Configuration
If you used the scripts/install.sh script, the configuration was created automatically.
Manual Configuration
Add the configuration to your Claude Desktop file:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
Linux: ~/.config/claude/claude_desktop_config.json
For npm installation and global installation
{
"mcpServers": {
"pagespeed-insights": {
"command": "npx",
"args": ["-y", "-p", "pino-pretty", "-p", "pagespeed-insights-mcp", "pagespeed-insights-mcp"],
"env": {
"GOOGLE_API_KEY": "your-google-api-key-here"
}
}
}
}For GitHub Packages installation
{
"mcpServers": {
"pagespeed-insights": {
"command": "npx",
"args": [
"-y",
"-p",
"pino-pretty",
"-p",
"@ruslanlap/pagespeed-insights-mcp",
"pagespeed-insights-mcp"
],
"env": {
"GOOGLE_API_KEY": "your-google-api-key-here"
}
}
}
}For Docker:
{
"mcpServers": {
"pagespeed-insights": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"--env",
"GOOGLE_API_KEY=your-google-api-key-here",
"pagespeed-insights-mcp"
]
}
}
}Restart Claude Desktop after configuration!
💻 Usage
After configuration, simply ask Claude any of these commands:
🔍 Full page analysis
Analyze the performance of https://example.com📱 Mobile device analysis
Analyze https://example.com for mobile devices with all categories⚡ Quick performance overview
Get a quick performance report for https://example.com🖥️ Desktop analysis
Analyze https://example.com performance for desktop devices🌐 Multi-category analysis
Perform a full audit of https://example.com including SEO, accessibility, and best practices🎯 Smart performance recommendations
Get smart recommendations for improving https://example.com performance💾 Cache management
Clear the cache to get fresh data for all subsequent requests📸 Visual analysis
Get visual analysis for https://example.com showing screenshots and loading timeline🎯 Element-level debugging
Show me which specific elements are causing performance issues on https://example.com🌐 Network waterfall analysis
Analyze the network requests and resource loading for https://example.com⚡ JavaScript performance
Get JavaScript execution breakdown for https://example.com🖼️ Image optimization opportunities
Show me which images need optimization on https://example.com🚫 Render-blocking resources
Find render-blocking resources on https://example.com🔌 Third-party script impact
Analyze third-party script impact on https://example.com performance📊 Full Lighthouse audit
Run a full audit including accessibility, SEO, and best practices for https://example.comAvailable Tools
16 tools across three categories:
Core Analysis
Tool | Description |
| Full Lighthouse analysis — all metrics and audits |
| Simplified key-metrics report |
| Prioritized recommendations with actionable fixes |
| Unified report combining Lighthouse lab data with CrUX field data |
| Analyze up to 10 URLs in parallel with progress tracking |
| Clear internal cache to force fresh API requests |
CrUX & Comparison
Tool | Description |
| Real-world Core Web Vitals from Chrome UX Report (field data) |
| Side-by-side performance comparison between two URLs |
Advanced Diagnostics
Tool | Description |
| Screenshots, filmstrip, and full-page captures |
| LCP/CLS DOM elements causing performance issues |
| Network waterfall — all requests with timing and size |
| JS bootup time, main-thread work, unused & duplicated modules |
| Images needing optimization with exact savings |
| Render-blocking resources and critical request chains |
| Third-party script impact grouped by provider |
| Complete Lighthouse audit for all categories |
analyze_page_speed
Complete page analysis with all Lighthouse metrics.
Parameters:
url(required): URL of the page to analyzestrategy: "mobile" or "desktop" (default: "mobile")category: array of categories ["performance", "accessibility", "best-practices", "seo", "pwa"]locale: locale for results (default: "en")
get_performance_summary
Simplified report with key performance metrics.
get_recommendations
Generate smart performance recommendations with priority scoring and actionable fixes.
Parameters:
url(required): URL of the page to analyzestrategy: "mobile" or "desktop" (default: "mobile")category: array of categories to analyze (default: ["performance", "accessibility", "best-practices", "seo"])locale: locale for results (default: "en")
clear_cache
Clear the internal cache to force fresh API requests for all subsequent analyses.
get_visual_analysis
Get screenshots and visual timeline showing how the page loads.
Parameters:
url(required): URL of the page to analyzestrategy: "mobile" or "desktop" (default: "mobile")
Returns:
Final screenshot of the loaded page
Filmstrip showing page load progression
Full-page screenshot with DOM node mapping
get_element_analysis
Get specific DOM elements causing performance issues.
Parameters:
url(required): URL of the page to analyzestrategy: "mobile" or "desktop" (default: "mobile")
Returns:
LCP (Largest Contentful Paint) element details
CLS (Cumulative Layout Shift) causing elements
Lazy-loaded LCP warnings
get_network_analysis
Get detailed network waterfall showing all requests with timing and size.
Parameters:
url(required): URL of the page to analyzestrategy: "mobile" or "desktop" (default: "mobile")
Returns:
All network requests with timing data
Resource breakdown by type
Total transfer size and request count
Network RTT and server latency
get_javascript_analysis
Get JavaScript execution breakdown showing performance impact.
Parameters:
url(required): URL of the page to analyzestrategy: "mobile" or "desktop" (default: "mobile")
Returns:
JavaScript bootup time by script
Main thread work breakdown
Unused JavaScript analysis
Duplicated JavaScript modules
get_image_optimization_details
Get specific images needing optimization with exact savings potential.
Parameters:
url(required): URL of the page to analyzestrategy: "mobile" or "desktop" (default: "mobile")
Returns:
Improperly sized images
Offscreen images (lazy-loading candidates)
Unoptimized images
Modern format recommendations (WebP/AVIF)
get_render_blocking_details
Get render-blocking resources and critical request chains.
Parameters:
url(required): URL of the page to analyzestrategy: "mobile" or "desktop" (default: "mobile")
Returns:
Render-blocking CSS and JavaScript files
Critical request chains showing dependencies
Total blocking time
get_third_party_impact
Get third-party script impact analysis grouped by entity.
Parameters:
url(required): URL of the page to analyzestrategy: "mobile" or "desktop" (default: "mobile")
Returns:
Impact by provider (Google, Facebook, etc.)
Transfer size and blocking time per provider
Recommended facade replacements
get_full_audit
Get comprehensive audit results for all Lighthouse categories.
Parameters:
url(required): URL of the page to analyzestrategy: "mobile" or "desktop" (default: "mobile")categories: array of categories to audit (default: ["performance", "accessibility", "best-practices", "seo"])
Returns:
Scores for all categories
Detailed Core Web Vitals and metrics
Key failing audits for each category
Framework-specific advice (if applicable)
crux_summary
Get real-world Core Web Vitals from the Chrome UX Report (field data from actual Chrome users).
Parameters:
url(required): URL to analyzeformFactor: "PHONE", "DESKTOP", or "TABLET" (default: "PHONE")
Returns:
Real-world LCP, CLS, FID, INP, TTFB distributions
Pass/fail thresholds per Core Web Vital
Percentile breakdowns (p75)
compare_pages
Compare performance metrics between two URLs side-by-side.
Parameters:
urlA(required): First URL to compareurlB(required): Second URL to comparestrategy: "mobile" or "desktop" (default: "mobile")
Returns:
Side-by-side Lighthouse score comparison
Metric-level diff for LCP, CLS, FCP, TBT, SI
Winner/loser indication per metric
full_report
Unified report combining Lighthouse lab data with CrUX real-world field data.
Parameters:
url(required): URL to analyzestrategy: "mobile" or "desktop" (default: "mobile")
Returns:
Lighthouse lab scores + CrUX field data in one response
Lab vs. field comparison for Core Web Vitals
Actionable recommendations
batch_analyze
Analyze performance for multiple URLs with progress tracking.
Parameters:
urls(required): Array of URLs to analyze (max 10)strategy: "mobile" or "desktop" (default: "mobile")
Returns:
Performance scores for all URLs
Sorted ranking by score
Per-URL metric breakdown
Example
answer example from Claude Desktop with pagespeed-insights-mcp 🔥🔥🔥
Complete Ratings for example.com
Now I have the full analysis! Here are all the ratings:
📊 Main Lighthouse Scores
Category | Score | Status |
Performance | 67/100 | 🟡 Needs Improvement |
Accessibility | 92/100 | 🟢 Good |
Best Practices | 96/100 | 🟢 Excellent |
SEO | 100/100 | 🟢 Perfect |
⚡ Detailed Performance Metrics
Metric | Value | Score |
First Contentful Paint | 1.2s | 🟢 Excellent (98/100) |
Largest Contentful Paint | 2.4s | 🟡 Needs Improvement (75/100) |
Speed Index | 4.8s | 🟡 Needs Improvement (67/100) |
Total Blocking Time | 60ms | 🟢 Good (94/100) |
Cumulative Layout Shift | 0 | 🟢 Perfect (100/100) |
♿ Detailed Accessibility Scores (92/100)
Audit | Score | Description |
Label Content Name Mismatch | 🔴 0/1 | 2 errors with aria-label |
Unsized Images | 🟡 0.5/1 | 1 image without dimensions |
Color Contrast | 🟢 1/1 | Sufficient contrast |
Button Names | 🟢 1/1 | Accessible button names |
Link Names | 🟢 1/1 | Accessible link names |
ARIA Roles | 🟢 1/1 | Correct ARIA roles |
HTML Lang | 🟢 1/1 | Valid lang attribute |
Meta Viewport | 🟢 1/1 | Proper viewport |
Image Alt Text | 🟢 1/1 | Correct alt attributes |
List Items | 🟢 1/1 | Proper list structure |
🏆 Detailed Best Practices Scores (96/100)
Audit | Score | Status |
Uses HTTPS | 🟢 ✓ | HTTPS is used |
HTTP Status Code | 🟢 1/1 | Correct 200 status |
No Console Errors | 🟢 1/1 | No console errors |
Valid Source Maps | 🟢 1/1 | Valid source maps |
No Notification Requests | 🟢 1/1 | No notification requests |
Charset Declaration | 🟢 1/1 | Correct encoding |
No Inspector Issues | 🟢 1/1 | No DevTools issues |
🔍 Detailed SEO Scores (100/100)
Audit | Score | Status |
Meta Viewport | 🟢 1/1 | Mobile optimized |
Document Title | 🟢 1/1 | Title present |
Meta Description | 🟢 1/1 | Description present |
HTTP Status Code | 🟢 1/1 | Successful status |
Link Text | 🟢 1/1 | Descriptive link texts |
Crawlability | 🟢 1/1 | Available for indexing |
HTML Lang | 🟢 1/1 | Valid document language |
Hreflang | 🟢 1/1 | Correct hreflang attributes |
🔧 Main Performance Issues
Issue | Affects | Potential Savings |
Improperly sized images | LCP, FCP | 1,069 KB, 170ms |
Inefficient caching | Overall speed | 1,445 KB |
Forced Reflows | Smoothness | 46.8ms |
JavaScript execution time | TBT | 338ms |
📈 Network Metrics
Metric | Value |
Server Response Time | 120ms (🟢 Good) |
Network RTT | Minimal |
Main Thread Work | 0.9s |
DOM Size | 453 elements (optimal) |
💡 Priority Recommendations
🔴 High Priority:
Optimize image sizes (save 1+ MB)
Fix aria-label mismatches for accessibility
🟡 Medium Priority:
Improve caching policy (TTL >600s)
Add width/height attributes for images
🟢 Low Priority:
Optimize forced reflows in JavaScript
🎯 Summary
Overall Rating: Good with potential for improvement
SEO: Perfect (100/100) 🏆
Best Practices: Excellent (96/100) 🏆
Accessibility: Good (92/100) ✅
Performance: Needs attention (67/100) ⚠️
The site has excellent SEO optimization and follows best practices, but needs image optimization to improve performance.
Parameters:
url(required): URL of the page to analyzestrategy: "mobile" or "desktop" (default: "mobile")
Development
For better log formatting during development, it is recommended to install pino-pretty globally:
npm install -g pino-pretty# Development mode
npm run dev
# Build project
npm run build
# Run built server
npm startLogging / pino-pretty in MCP environments
This MCP server uses pino for logging and enables the pino-pretty transport when NODE_ENV=development.
If you just want it to work with minimal setup (Claude, Codex, etc.), set:
NODE_ENV=production GOOGLE_API_KEY=your-google-api-key npx pagespeed-insights-mcpor in your MCP config:
"pagespeed-insights": {
"command": "npx",
"args": ["pagespeed-insights-mcp"],
"env": {
"GOOGLE_API_KEY": "your-google-api-key-here",
"NODE_ENV": "production"
}
}If you want pretty logs in development via
npx, you can havenpxinstallpino-prettyalongside the server:
"pagespeed-insights": {
"command": "npx",
"args": [
"-y",
"-p",
"pino-pretty",
"-p",
"pagespeed-insights-mcp",
"pagespeed-insights-mcp"
],
"env": {
"GOOGLE_API_KEY": "your-google-api-key-here"
}
}Troubleshooting
"Google API key not provided"
Ensure the GOOGLE_API_KEY environment variable is set in your Claude Desktop configuration.
"PageSpeed Insights API error: 403"
Check if PageSpeed Insights API is enabled in your Google Cloud project.
"Invalid URL"
Ensure the URL includes the protocol — only http:// and https:// are accepted. Other schemes (file://, ftp://, javascript:, etc.) are rejected at the schema level.
Requirements
Node.js 20 or later (Node 18 is EOL since April 2025 and is no longer supported).
A Google API key with PageSpeed Insights and (optionally) Chrome UX Report APIs enabled.
Security
Please report security issues privately — do not open a public issue. See SECURITY.md for the disclosure policy and operator hardening notes.
Acknowledgments
Special thanks to @engmsaleh (Mohamed Saleh Zaied) for his significant contribution to the development of this project.
A very special thank you to @system-conf for their outstanding and invaluable contribution to the growth and development of this project. Your dedication, expertise, and continuous support have made a tremendous impact — this project wouldn't be where it is today without you. 🙏
License
MIT
Support
For bug reports or feature requests, please create an issue in the repository.
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