Webanalyzer

Free website analyzer: score any public URL 0-100 across 8 quality dimensions. No auth.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent — or use 1-click editor setup below.

Add to Cursor Add to VS Code

Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag — we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON ▾

Client Config & Setup

Choose your client or environment

Target File:~/Library/Application Support/Claude/claude_desktop_config.json

claude_desktop_config.json

{
  "mcpServers": {
    "webanalyzer": {
      "command": "npx",
      "args": [
        "-y",
        "@webanalyzer/cli"
      ]
    }
  }
}

💡 Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Documentation Overview

@webanalyzer/cli

Official SDK + CLI for webanalyzer.dev — score any public web page 0–100 across 8 quality dimensions (SEO, GEO/AI readiness, performance, accessibility, code quality, UI/UX, data & tracking, security) from 290+ deterministic checks. Free, keyless, no signup.

CLI

Terminal

npx @webanalyzer/cli https://example.com

Or install it globally and use the short command:

Terminal

npm i -g @webanalyzer/cli
webanalyzer https://example.com

Code

 62/100  grade C  https://example.com/

   71  SEO
   55  AI readiness
   …

top issues:
  - [SEO] Meta description missing

webanalyzer leaderboard shows the public leaderboard; --json prints raw API output.

SDK

server.ts

import { analyze, leaderboard } from "@webanalyzer/cli";

const report = await analyze("https://example.com");
console.log(report.score, report.grade); // e.g. 62 "C"

Zero dependencies, Node 18+. Errors throw WebAnalyzerError with a stable .code (rate_limited, fetch_failed, blocked_host, …).

Notes

The API is rate-limited per IP (8 analyses/min) and returns standard RateLimit-* headers.
Scores use a deliberately demanding curve with critical caps — a 70 is a good site. Not comparable with linear percentage graders.
OpenAPI spec: https://webanalyzer.dev/openapi.json · docs: https://webanalyzer.dev/developers
MCP server for AI agents: https://mcp.webanalyzer.dev (mcpName: dev.webanalyzer/webanalyzer)

MIT © Eduardo Gil

Read the full README →View source on GitHub →

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Frequently Asked Questions about Webanalyzer

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "webanalyzer": { "command": "npx", "args": ["-y", "webanalyzer"] } }

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Technical Specs & Signals

CategoryDeveloper Tools

40Quality signal: Fair · 40/100How this signal is calculated ▾

Server availabilityNot measured

Not scored for repo-hosted servers — we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20

Documentation & tools16/30

Adoption & activity4/15

Community engagement0/10

A guidance signal from public completeness & health data — not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 11h ago via OSV.dev · @webanalyzer/cli (npm)

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More in 💻 Developer Tools →Best MCP servers for Developers →Alternatives to Webanalyzer →Install in Claude Desktop Install in Cursor Install in VS Code

Documentation Overview

@webanalyzer/cli

CLI

Terminal

npx @webanalyzer/cli https://example.com

Or install it globally and use the short command:

Terminal

npm i -g @webanalyzer/cli
webanalyzer https://example.com

Code

 62/100  grade C  https://example.com/

   71  SEO
   55  AI readiness
   …

top issues:
  - [SEO] Meta description missing

webanalyzer leaderboard shows the public leaderboard; --json prints raw API output.

SDK

server.ts

import { analyze, leaderboard } from "@webanalyzer/cli";

const report = await analyze("https://example.com");
console.log(report.score, report.grade); // e.g. 62 "C"

Zero dependencies, Node 18+. Errors throw WebAnalyzerError with a stable .code (rate_limited, fetch_failed, blocked_host, …).

Notes

The API is rate-limited per IP (8 analyses/min) and returns standard RateLimit-* headers.
Scores use a deliberately demanding curve with critical caps — a 70 is a good site. Not comparable with linear percentage graders.
OpenAPI spec: https://webanalyzer.dev/openapi.json · docs: https://webanalyzer.dev/developers
MCP server for AI agents: https://mcp.webanalyzer.dev (mcpName: dev.webanalyzer/webanalyzer)