priyankark lighthouse mcp
by priyankark
Allows AI assistants such as Cursor/Cline/GitHub Copilot to use Google's lighthouse tool to measure perf metrics for your webpage. You can then run an agentic loop and get the assistants to optimize those metrics!
What is priyankark lighthouse mcp
Lighthouse MCP Server
An MCP server that wraps around Google's Lighthouse tool to help measure various performance metrics for web pages.
Features
- Run comprehensive Lighthouse audits on any URL
- Get performance scores and metrics
- Configure device emulation (mobile/desktop)
- Control network throttling
- Select specific audit categories
Installation
Option 1: Using npx (Recommended)
You can run the tool directly using npx without installation:
npx lighthouse-mcp
Option 2: Global Installation
Install the package globally:
npm install -g lighthouse-mcp
Then run it:
lighthouse-mcp
Option 3: Local Development
- Clone this repository
- Install dependencies:
npm install
- Build the project:
npm run build
- Run the server:
npm start
MCP Configuration
When installed via npm (global or npx)
Add the following to your MCP settings configuration file:
{
"mcpServers": {
"lighthouse": {
"command": "npx",
"args": ["lighthouse-mcp"],
"disabled": false,
"autoApprove": []
}
}
}
When using local development version
Add the following to your MCP settings configuration file:
{
"mcpServers": {
"lighthouse": {
"command": "node",
"args": ["/absolute/path/to/lighthouse-mcp/build/index.js"],
"disabled": false,
"autoApprove": []
}
}
}
Replace /absolute/path/to/lighthouse-mcp
with the actual path to this project.
Available Tools
run_audit
Run a comprehensive Lighthouse audit on a URL.
Parameters:
url
(required): The URL to auditcategories
(optional): Array of categories to audit (defaults to all)- Options: "performance", "accessibility", "best-practices", "seo", "pwa"
device
(optional): Device to emulate (defaults to "mobile")- Options: "mobile", "desktop"
throttling
(optional): Whether to apply network throttling (defaults to true)
Example:
{
"url": "https://example.com",
"categories": ["performance", "accessibility"],
"device": "desktop",
"throttling": false
}
get_performance_score
Get just the performance score for a URL.
Parameters:
url
(required): The URL to auditdevice
(optional): Device to emulate (defaults to "mobile")- Options: "mobile", "desktop"
Example:
{
"url": "https://example.com",
"device": "mobile"
}
Example Usage
Once the MCP server is configured, you can use it with Claude:
What's the performance score for example.com?
Claude will use the get_performance_score
tool to analyze the website and return the results.
Requirements
- Node.js 16+
- Chrome/Chromium browser (for Lighthouse)
Endorsements
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Frequently Asked Questions
What is MCP?
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.
What are MCP Servers?
MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.
How do MCP Servers work?
MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.
Are MCP Servers secure?
Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.
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