Analytics · MODEL CONTEXT PROTOCOL
priyankark lighthouse mcp
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 IT CONNECTS
What priyankark lighthouse mcp gives an AI Agent
- Run comprehensive Lighthouse audits on any URL
- Get performance scores and metrics
- Configure device emulation (mobile/desktop)
- Control network throttling
- Select specific audit categories
- Clone this repository
- Install dependencies:
- Build the project:
- Run the server:
- `url` (required): The URL to audit
- `categories` (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)
- `url` (required): The URL to audit
- `device` (optional): Device to emulate (defaults to "mobile")
- Options: "mobile", "desktop"
- Node.js 16+
- Chrome/Chromium browser (for Lighthouse)
SECURITY
An MCP listing is not a security review
An MCP server may receive model context, credentials, local files, or permission to call external systems. Review its code, requested environment variables, network behavior, package provenance, and maintenance status before connecting it to an agent.