# URLScan

> Use this tool when you need to analyze website security or content information, as it scans URLs and returns comprehensive results directly within the assistant interface. It solves problems such as identifying potential security threats or gathering content insights without leaving the conversation. The tool accepts a URL as input and outputs detailed scan results from urlscan.io.

Canonical page: https://skillsregistry.net/skills/urlscan  
JSON: https://api.skillsregistry.net/v1/skills/urlscan

## Description

Scan-URL MCP Server provides a bridge between Claude Desktop and the urlscan.io API, enabling URL scanning capabilities directly within the assistant interface. The server exposes a single tool that accepts a URL parameter and returns comprehensive scan results from urlscan.io's search endpoint. Built with the Model Context Protocol SDK, it implements both ListTools and CallTool request handlers, communicates via standard I/O, and can be easily configured in Claude Desktop. This implementation is particularly valuable for users who need to quickly analyze website security or content information without leaving their AI assistant conversation.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/urlscan)
- **Repository:** <https://github.com/onurucard4/scan-url-mcp-server>

## 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": "urlscan"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/urlscan` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/urlscan/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