Read any public web page as a clean AIDocument (Markdown + structure) through Lyrenth.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"com-lyrenth-lyrenth-mcp": {
"command": "<see-readme>",
"args": []
}
}
}Are you the author?
Add this badge to your README to show your security score and help users find safe servers.
Read any public web page as a clean AIDocument (Markdown + structure) through Lyrenth.
No automated test available for this server. Check the GitHub README for setup instructions.
Five weighted categories — click any category to see the underlying evidence.
No known CVEs.
No package registry to scan.
This server is missing a description. Tools and install config are also missing.If you've used it, help the community.
Add informationBe the first to review
Have you used this server?
Share your experience — it helps other developers decide.
Sign in to write a review.
Others in browser / writing
Browser automation with Puppeteer for web scraping and testing
Self-hosted URL- and file-to-Markdown service for humans and AI agents - web pages, documents, images, audio, YouTube. PWA + REST + MCP + Claude Code skill, Reddit-aware, refreshable share links.
🔥 Official Firecrawl MCP Server - Adds powerful web scraping and search to Cursor, Claude and any other LLM clients.
The Apify MCP server enables your AI agents to extract data from social media, search engines, maps, e-commerce sites, or any other website using thousands of ready-made scrapers, crawlers, and automation tools available on the Apify Store.
MCP Security Weekly
Get CVE alerts and security updates for com.lyrenth/lyrenth-mcp and similar servers.
Start a conversation
Ask a question, share a tip, or report an issue.
Sign in to join the discussion.
Read the web through Lyrenth 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 publisher's canonical version.
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 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.
| Tool | Arguments | Returns |
|---|---|---|
read_url | url (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_urls | urls (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_usage | none | Your plan tier, credits used against your monthly limit, credits remaining, and the reset date. |
| Env var | Required | Default | Notes |
|---|---|---|---|
LYRENTH_API_KEY | yes | none | Free key at https://lyrenth.com/signup |
LYRENTH_API_URL | no | https://api.lyrenth.com | Override for staging or self-host |
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.