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Lighthouse MCP

by priyankarkversion 0.1.9i★ –iRuns on your computer
Registry nameio.github.priyankark/lighthouse-mcp

Install

Overview

Description from the maker (original English)

MCP server for Google Lighthouse performance metrics

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on your computer with your user’s permissions (files, network, apps).
  • The registry lists no key to fill in.

You need

  • npmNode.js installed (for the npx command)

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "lighthouse": {
      "command": "npx",
      "args": [
        "-y",
        "lighthouse-mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add lighthouse -- npx -y lighthouse-mcp

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "lighthouse": {
      "command": "npx",
      "args": [
        "-y",
        "lighthouse-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "lighthouse": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "lighthouse-mcp"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 7, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account priyankark, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Otheri

  • More stars than 0% of the other 18345 servers in this category
  • Published to the registry more recently than 0% of the other 18345 servers in this category
  • Basic checks equal to or better than 100% of the other 18345 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Lighthouse MCP safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.1.9) reached the registry 14 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, ScienceShot science reference

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago
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Runs in the cloudUpdated today
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README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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: From MCP Registry (Recommended)

This server is available in the Model Context Protocol Registry. Install it using your MCP client or Claude Desktop.

Option 2: Using npx

You can run the tool directly using npx without installation:

npx lighthouse-mcp
Option 3: Global Installation

Install the package globally from npm:

npm install -g lighthouse-mcp

Then run it:

lighthouse-mcp
Option 4: Local Development
  1. Clone this repository
  2. Install dependencies:
   npm install
  1. Build the project:
   npm run build
  1. 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 audit
  • categories (optional): Array of categories to audit (defaults to all)
  • Options: "performance", "accessibility", "best-practices", "seo"
  • 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 audit
  • device (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 22.19+
  • Chrome/Chromium browser (for Lighthouse)

Security

Chrome runs with its sandbox enabled. Localhost, IPv4 loopback, and IPv6 loopback remain supported by default. Private, link-local, cloud metadata, and other non-public destinations are blocked, including requests made by redirects and page resources. Connections use validated IP addresses to prevent DNS rebinding. Because loopback access is intentional, audit only pages you trust to access services on your own machine. For hostile sites, use a separate environment with network isolation.

Audits are limited to one at a time and time out after 120 seconds. Chrome and the audit proxy are cleaned up after success or failure.

Public-only audits

Set AUDIT_ALLOW_LOOPBACK=false to reject loopback destinations as well as private and metadata addresses. Hosted workers must use this setting and infrastructure egress isolation. Local development keeps loopback access by default.

Maintainer CI and releases

GitHub Actions runs the build, network and release-policy tests, npm security audit, and real Chrome smoke tests on the minimum supported Node version and Node 24. Node 24 also installs the npm tarball in a clean temporary project and checks its executable, dependencies, MCP version, and browser audits.

Every push to main runs the release pipeline. When package files change, it automatically increments the patch version (or honors a larger version already committed), synchronizes package metadata, repeats validation, commits and tags the release, publishes to npm with provenance, and creates a GitHub release. Changes limited to documentation, tests, or workflows do not publish a new version. Runtime server versions come from package.json.

Dependabot checks npm and GitHub Actions weekly. A successful PR CI run automatically merges npm updates only when all existing changed dependencies are stable patch/minor upgrades and only package.json / package-lock.json changed. Major upgrades, 0.x minor upgrades, downgrades, prereleases, and GitHub Actions changes require review. The merge job runs only trusted code from main, verifies the tested PR head, and explicitly dispatches publishing after a bot merge.

npm publishing uses the npm GitHub environment and an npm trusted publisher for priyankark/lighthouse-mcp, workflow publish.yml, environment npm, with direct publishing allowed. No npm token is stored in GitHub. The environment accepts deployments only from main.

To retry a failed release, rerun the Publish workflow or run ./release.sh. The pipeline reuses an unpublished version and skips an already published, unchanged package. If a reserved release tag points to different code, it stops rather than overwriting that version. For a breaking change, update package.json and package-lock.json to the intended major/minor version in the reviewed PR before merging.

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