A polite, remote MCP and REST service that converts public static HTML web pages into clean, LLM-friendly markdown.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install agent-web
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install agent-web using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The URL to Markdown skill (agent-web) is a specialized tool designed to fetch any public web page and convert it into clean, structured, and LLM-ready markdown format. This utility is perfect for developers building AI agents and workflows who need to ingest article text, extract documentation, or analyze online resources without dealing with noisy HTML parser pipelines. As an essential part of the Openclaw Skills repository, it provides seamless web extraction capabilities directly optimized for language model consumption.
This service operates under a 'charter-clean' polite philosophy: it strictly honors robots.txt constraints, identifies itself honestly without browser spoofing, and operates on a read-only GET basis. By integrating this service into your setup, you ensure safe, reliable, and compliant access to public static web content.
read_url MCP tool or a direct GET REST endpoint with a target web URL.Integrating URL to Markdown with your agents and systems is straightforward. Since it runs as a remote MCP server, you can link your agents directly to the hosted endpoint or use standard tools like curl for REST interactions.
Add the following endpoint to your MCP-compatible client configuration:
https://agent-web.foomworks.workers.dev/mcpYou can use curl to interact with either the REST endpoints or the MCP JSON-RPC protocol. Here is how you can use Openclaw Skills resources via bash:
BASE=https://agent-web.foomworks.workers.dev
# Fetch clean markdown using the REST API
curl -s "$BASE/read?url=https://example.com/"
# Query the remote MCP server via a POST request
curl -s -X POST "$BASE/mcp" -H 'content-type: application/json' \
-d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"read_url","arguments":{"url":"https://example.com/"}}}'
When querying the endpoint GET /read?url=<URL>, the service responds with a JSON object structured as follows:
| Property | Type | Description |
|---|---|---|
title |
String | The parsed title of the target web page |
words |
Number | Total word count of the extracted text |
markdown |
String | Clean, formatted LLM-ready markdown content |
read_url: Fetches the full content of the requested URL. Accepts a single argument: url (string).read_url_preview: Returns only the first ~600 characters of the markdown content to preserve token counts.GET /.well-known/mcp.jsonGET /.well-known/agent-card.jsonGET /openapi.jsonread_url_preview endpoint and tool, retrieving just the first 600 characters to evaluate context costs before pulling the full payload.Loading
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