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PopNx MCPMCP servers for people who use AI · explained in plain words

Lyrenth MCP

by lyrenthversion 0.1.7i★ –iRuns on your computer
Registry namecom.lyrenth/lyrenth-mcp

Install

Overview

Description from the maker (original English)

Read any public web page as a clean AIDocument (Markdown + structure) through Lyrenth.

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: Web & browsers

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

Run this in your terminal

claude mcp add lyrenth -- npx -y lyrenth-mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "lyrenth": {
      "command": "npx",
      "args": [
        "-y",
        "lyrenth-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": {
    "lyrenth": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "lyrenth-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 against the domain lyrenth.com (the registry checks domain ownership)

  • … 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 Web & browsersi

  • More stars than 0% of the other 879 servers in this category
  • Published to the registry more recently than 87% of the other 879 servers in this category
  • Basic checks equal to or better than 100% of the other 879 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 Lyrenth 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 (0.1.7) reached the registry 5 days 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: Browser Use, Chrome DevTools MCP, MCP Server Browser

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

Browser Use

by browser-use

Lets AI do web tasks for you, such as filling forms, searching and extracting data, in the maker’s cloud browsers or on your computer.

Computer or cloud★ 120,087MITUpdated 17 days ago
Install

Chrome DevTools MCP

by ChromeDevTools

Lets AI use Chrome’s developer tools to inspect pages, find what makes them slow and spot errors. Made by the Chrome DevTools team.

Runs on your computer★ 54,821Apache-2.0Updated 15 days ago
Install

MCP Server Browser

by bytedance

MCP server for browser use access

Runs on your computer★ 39,550Apache-2.0Updated 14 months ago
Install

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.

Lyrenth MCP server

Read the web through Lyrenth's index from any MCP client.

Exposes three tools:

  • `read_url` turns a public web page into a clean AIDocument: stable Markdown plus title, description, and structure, with the navigation and boilerplate stripped. Your agent reads cleaned, low-token content instead of raw HTML, and every result shows how many tokens it saved vs the raw page.
  • `read_urls` does the same for up to 20 URLs in one batch call.
  • `check_usage` reports your plan tier and credit usage.

Reads resolve through Lyrenth's cross-caller cache, and for verified domains they return the site's canonical version.

Every tool declares all four MCP tool annotations (read-only, non-destructive, idempotent, and open or closed world) as explicit booleans, and the HTTP transport ships with a test suite covering its security posture.

Hosted, no install

If your MCP client supports remote HTTP servers with a custom header (Claude and Cursor remote connectors do), there is nothing to run:

  • URL: https://api.lyrenth.com/mcp
  • Header: Authorization: Bearer aiwk_your_key_here

Same three tools, same key. The npx path below is for clients that speak MCP over stdio, and for anyone who prefers a local process.

Setup

  1. Get a free API key at https://lyrenth.com/signup (2,000 reads/month, no card).
  2. Add the server to your MCP client.
Claude Desktop (one click)

Download lyrenth-mcp.mcpb from the latest release and open it. Claude Desktop installs the server and asks for your API key; there is no config file to edit. The bundle carries the same code as the npm package.

To build it yourself: ./scripts/build-mcpb.sh.

Claude Desktop / Cursor (manual config)

Add to your MCP config (Claude Desktop: claude_desktop_config.json):

{

"mcpServers": { "lyrenth": { "command": "npx", "args": ["-y", "lyrenth-mcp"], "env": { "LYRENTH_API_KEY": "aiwk_your_key_here" } } } }

Claude Code
claude mcp add lyrenth -e LYRENTH_API_KEY=aiwk_your_key_here -- npx -y lyrenth-mcp

Then ask your assistant to read a page, for example: *"Read https://example.com/article and summarize it."* It will call read_url and get the cleaned AIDocument back.

Tools

ToolArgumentsReturns
read_urlurl (string, required), fresh (boolean, optional), max_tokens (integer, optional)The page as a clean AIDocument: a short provenance header (token count + how much smaller than raw HTML) plus the Markdown body. fresh: true forces a fresh fetch instead of the cached copy; max_tokens caps the body to your context budget, trimmed at a clean paragraph or sentence boundary.
read_urlsurls (array of 1-20 strings, required), fresh (boolean, optional), max_tokens (integer, optional)Up to 20 pages in one call, each as a clean AIDocument, with per-URL error isolation (a failed URL is reported and doesn't block the others). Billed one credit per successfully-read URL.
check_usagenoneYour plan tier, credits used against your monthly limit, credits remaining, and the reset date.

Configuration

Env varRequiredDefaultNotes
LYRENTH_API_KEYyesnoneFree key at https://lyrenth.com/signup
LYRENTH_API_URLnohttps://api.lyrenth.comOverride for staging or self-host

Why read through Lyrenth

  • Cleaner, cheaper. One stable AIDocument shape per URL; far fewer tokens than raw HTML to a model.
  • Cached across callers. The same URL fetched by many agents collapses to a minimal number of origin fetches, so it is fast and origin-friendly.
  • Fresh when verified. When a site's owner has verified with Lyrenth, a page they change is fetched again at the front of our crawl queue, so you read the new version sooner.

Privacy

The server sends exactly two things to Lyrenth's API (api.lyrenth.com): the URLs you ask it to read, and your API key to authenticate and meter the call. Nothing else leaves your machine: no page content you hold locally, no conversation context, no telemetry. How Lyrenth handles fetched pages and account data is covered by the privacy policy: https://www.lyrenth.com/privacy.

License

MIT. See LICENSE.

Local build

npm install

npm run build LYRENTH_API_KEY=aiwk_... node dist/index.js # speaks MCP over stdio

Part of the Lyrenth project. The AIDocument format is an open contract; see https://lyrenth.com/llms-full.txt.

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