# Crawlio MCP

> Use this tool when you need to crawl and analyze websites efficiently, solving problems like data extraction and website archiving with 38 customizable tools. It takes website URLs as input and outputs detailed analysis and exported data in WARC/ZIP format. Use Crawlio MCP in contexts where evidence-backed website findings and observation timelines are crucial, such as research, monitoring, or digital forensic analysis.

Canonical page: https://skillsregistry.net/skills/rashidazarang-crawlio-mcp  
JSON: https://api.skillsregistry.net/v1/skills/rashidazarang-crawlio-mcp

## Description

AI-powered website crawling, analysis, and export via MCP. 38 tools for crawl control, browser enrichment, WARC/ZIP export, observation timeline, and evidence-backed findings. Install: npx crawlio-mcp

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** browser-automation
- **Updated:** 2026-05-14

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/rashidazarang/crawlio-mcp)

## 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": "rashidazarang-crawlio-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rashidazarang-crawlio-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rashidazarang-crawlio-mcp/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