@enemyrr/mcp-server-pagespeed
About
An MCP server that integrates Google PageSpeed Insights to let AI models analyze webpage performance and receive optimization suggestions through a standardized interface.
Details
- Author
- MCP-Mirror
- Downloads
- 292
- Categories
- Other
Jump to
- Real-time webpage performance analysis
- Detailed loading experience metrics (FCP, FID)
- Top 5 prioritized improvement suggestions
- Comprehensive error handling for malformed URLs and API failures
- Written in TypeScript with full type support
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
@enemyrr/mcp-server-pagespeedCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install by cloning the repository, running npm install and npm run build, then configure in Cursor IDE with the command node /absolute/path/to/build/index.js. Alternatively, run npx mcp-server-pagespeed directly from the command line. Use the analyze_pagespeed tool with a URL argument to obtain performance data.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"@enemyrr/mcp-server-pagespeed": {
"enemyrr_mcp-server-pagespeed": {
"command": "npx",
"args": [
"mcp-server-pagespeed"
]
}
}
}
}McpServers
{
"enemyrr_mcp-server-pagespeed": {
"command": "npx",
"args": [
"mcp-server-pagespeed"
]
}
}@enemyrr/mcp-server-pagespeed
A Model Context Protocol server that provides Google PageSpeed Insights analysis. This server enables AI models to analyze webpage performance through a standardized interface.
<a href="https://glama.ai/mcp/servers/wes81w8il2"></a>
Installation & Setup for Cursor IDE
1. Clone and build the project:
git clone https://github.com/enemyrr/mcp-server-pagespeed.git
cd mcp-server-pagespeed
npm install
npm run build
2. Add the server in Cursor IDE settings:
- Open Command Palette (Cmd/Ctrl + Shift + P)
- Search for "MCP: Add Server"
- Fill in the fields:
- Name: pagespeed
- Type: command
- Command: node /absolute/path/to/mcp-server-pagespeed/build/index.js
> Note: Replace /absolute/path/to/ with the actual path where you cloned and built the project.
Command-line Usage
Just run:
npx mcp-server-pagespeed
Available Tools
analyze_pagespeed
Analyze a webpage using Google PageSpeed Insights API.use_mcp_tool({
server_name: "pagespeed",
tool_name: "analyze_pagespeed",
arguments: {
url: "https://example.com"
}
});
The tool returns:
- Overall performance score (0-100)
- Loading experience metrics
- First Contentful Paint
- First Input Delay
- Top 5 improvement suggestions with:
- Title
- Description
- Potential impact
- Current value
Features
- Real-time webpage performance analysis
- Detailed loading experience metrics
- Prioritized improvement suggestions
- Comprehensive error handling
- TypeScript support
Error Handling
The server provides detailed error messages for:
- Invalid URLs
- API request failures
- Connection issues
- Invalid tool calls
Contributing
Contributions are welcome! Please feel free to submit a Pull Request to https://github.com/enemyrr/mcp-server-pagespeed
License
MIT
Sign in to leave a review
Use Google, GitHub, or an email account so ratings stay tied to real people.
No reviews posted yet.
