MCP server for Google PageSpeed Insights API that enables web page performance analysis directly through Claude.
π¬ View Interactive Demo β β See all 16 tools in action with animated examples Fallback URL: https://ruslanlap.github.io/pagespeed-insights-mcp/demo.html
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"
}
}
}
}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.
We have comprehensive documentation available online.
π View Full Documentation Site
You can also view the raw markdown files in the
docs/directory or runmkdocs servelocally.
- π Performance Analysis of web pages using Google PageSpeed Insights
- π± Multi-platform Support: mobile and desktop devices
- π Detailed Lighthouse Reports with comprehensive metrics
- π Simplified Reports with key performance indicators
- π― Smart Recommendations with priority scoring and actionable fixes
- πΎ Intelligent Caching to reduce API calls and improve performance
- π Localization - support for multiple languages
- β‘ Quick Installation - one command setup
- π³ Docker Support for containerized deployment
- πΈ Visual Analysis - Screenshots, filmstrip, and full-page captures
- π― Element-Level Debugging - Find specific DOM elements causing issues
- π Network Waterfall - Detailed request timing and resource loading
- β‘ JavaScript Profiling - Execution breakdown and unused code detection
- πΌοΈ Image Optimization - Specific image issues with exact savings
- π« Render-Blocking Analysis - Critical request chains and dependencies
- π Third-Party Impact - Script impact grouped by provider
- π Full Audits - Complete Lighthouse audits for all categories
# Set environment variable
export GOOGLE_API_KEY=your-google-api-keycurl -sSL https://raw.githubusercontent.com/ruslanlap/pagespeed-insights-mcp/master/install.sh | bash# Global installation from npm
npm install -g pagespeed-insights-mcp
# Or use without installation
npx pagespeed-insights-mcp
# Specific version
npm install -g pagespeed-insights-mcp@1.0.6# First configure authentication (see GITHUB_PACKAGES.md for details)
# Then install globally
npm install -g @ruslanlap/pagespeed-insights-mcp
# Or specific version
npm install -g @ruslanlap/pagespeed-insights-mcp@1.0.6Note: This package is available on both npm and GitHub Packages.
- For npm: Use
npm install pagespeed-insights-mcp- For 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
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"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"
}
}[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.
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.
docker build -t pagespeed-insights-mcp .
docker run -e GOOGLE_API_KEY=your-key pagespeed-insights-mcp- Go to Google Cloud Console
- Create a new project or select an existing one
- Enable PageSpeed Insights API:
- Navigate to "APIs & Services" β "Library"
- Search for "PageSpeed Insights API" and enable it
- Create an API key:
- Go to "APIs & Services" β "Credentials"
- Click "Create Credentials" β "API Key"
- Copy the generated key
If you used the install.sh script, the configuration was created automatically.
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
{
"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"
}
}
}
}{
"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"
}
}
}
}{
"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!
After configuration, simply ask Claude any of these commands:
Analyze the performance of https://example.com
Analyze https://example.com for mobile devices with all categories
Get a quick performance report for https://example.com
Analyze https://example.com performance for desktop devices
Perform a full audit of https://example.com including SEO, accessibility, and best practices
Get smart recommendations for improving https://example.com performance
Clear the cache to get fresh data for all subsequent requests
Get visual analysis for https://example.com showing screenshots and loading timeline
Show me which specific elements are causing performance issues on https://example.com
Analyze the network requests and resource loading for https://example.com
Get JavaScript execution breakdown for https://example.com
Show me which images need optimization on https://example.com
Find render-blocking resources on https://example.com
Analyze third-party script impact on https://example.com performance
Run a full audit including accessibility, SEO, and best practices for https://example.com
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")
Simplified report with key performance metrics.
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 the internal cache to force fresh API requests for all subsequent analyses.
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 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 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 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 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 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 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 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)
answer example from Claude Desktop with pagespeed-insights-mcp π₯π₯π₯
Now I have the full analysis! Here are all the ratings:
| Category | Score | Status |
|---|---|---|
| Performance | 67/100 | π‘ Needs Improvement |
| Accessibility | 92/100 | π’ Good |
| Best Practices | 96/100 | π’ Excellent |
| SEO | 100/100 | π’ Perfect |
| Metric | Value | Score |
|---|---|---|
| First Contentful Paint | 1.2s | π’ Excellent (98/100) |
| Largest Contentful Paint | 2.4s | π‘ Needs Improvement (75/100) |
| Speed Index | 4.8s | π‘ Needs Improvement (67/100) |
| Total Blocking Time | 60ms | π’ Good (94/100) |
| Cumulative Layout Shift | 0 | π’ Perfect (100/100) |
| Audit | Score | Description |
|---|---|---|
| Label Content Name Mismatch | π΄ 0/1 | 2 errors with aria-label |
| Unsized Images | π‘ 0.5/1 | 1 image without dimensions |
| Color Contrast | π’ 1/1 | Sufficient contrast |
| Button Names | π’ 1/1 | Accessible button names |
| Link Names | π’ 1/1 | Accessible link names |
| ARIA Roles | π’ 1/1 | Correct ARIA roles |
| HTML Lang | π’ 1/1 | Valid lang attribute |
| Meta Viewport | π’ 1/1 | Proper viewport |
| Image Alt Text | π’ 1/1 | Correct alt attributes |
| List Items | π’ 1/1 | Proper list structure |
| Audit | Score | Status |
|---|---|---|
| Uses HTTPS | π’ β | HTTPS is used |
| HTTP Status Code | π’ 1/1 | Correct 200 status |
| No Console Errors | π’ 1/1 | No console errors |
| Valid Source Maps | π’ 1/1 | Valid source maps |
| No Notification Requests | π’ 1/1 | No notification requests |
| Charset Declaration | π’ 1/1 | Correct encoding |
| No Inspector Issues | π’ 1/1 | No DevTools issues |
| Audit | Score | Status |
|---|---|---|
| Meta Viewport | π’ 1/1 | Mobile optimized |
| Document Title | π’ 1/1 | Title present |
| Meta Description | π’ 1/1 | Description present |
| HTTP Status Code | π’ 1/1 | Successful status |
| Link Text | π’ 1/1 | Descriptive link texts |
| Crawlability | π’ 1/1 | Available for indexing |
| HTML Lang | π’ 1/1 | Valid document language |
| Hreflang | π’ 1/1 | Correct hreflang attributes |
| 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 |
| Metric | Value |
|---|---|
| Server Response Time | 120ms (π’ Good) |
| Network RTT | Minimal |
| Main Thread Work | 0.9s |
| DOM Size | 453 elements (optimal) |
- π΄ High Priority:
- Optimize image sizes (save 1+ MB)
- Fix aria-label mismatches for accessibility
- π‘ Medium Priority:
- Improve caching policy (TTL >600s)
- Add width/height attributes for images
- π’ Low Priority:
- Optimize forced reflows in JavaScript
Overall Rating: Good with potential for improvement
- SEO: Perfect (100/100) π
- Best Practices: Excellent (96/100) π
- Accessibility: Good (92/100) β
- Performance: Needs attention (67/100)
β οΈ
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")
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 startThis 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:
- 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"
}
}Ensure the GOOGLE_API_KEY environment variable is set in your Claude Desktop configuration.
Check if PageSpeed Insights API is enabled in your Google Cloud project.
Ensure the URL includes the protocol (http:// or https://).
Special thanks to @engmsaleh (Mohamed Saleh Zaied) for his significant contribution to the development of this project.
MIT
For bug reports or feature requests, please create an issue in the repository.

