# URL Agent

> Use this tool when you need to intelligently crawl and analyze websites, as it adaptively explores web pages and returns structured data. The URL Agent solves problems related to web data extraction, monitoring, and analysis, providing valuable insights from unstructured web content. It takes URLs as input and outputs structured analysis, making it ideal for use cases requiring automated web data collection and processing.

Canonical page: https://skillsregistry.net/skills/rossja-url-agent  
JSON: https://api.skillsregistry.net/v1/skills/rossja-url-agent

## Description

MCP server for intelligent web crawling using a ReAct agent. Adaptively explores websites and returns structured analysis.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/iexsm8y6wt)
- **Repository:** <https://github.com/rossja/url-agent>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "rossja-url-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rossja-url-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rossja-url-agent/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt