# web-scout

> Use this tool when you need to discover and map web data sources efficiently, as it solves the problem of locating and understanding data formats without requiring full web crawling. The web-scout tool takes network requests as input and outputs extracted API structures, enabling AI agents to understand data location and format. It is ideal for use cases where data discovery and mapping are crucial, such as data integration and web scraping projects.

Canonical page: https://skillsregistry.net/skills/sanzineo-web-scout  
JSON: https://api.skillsregistry.net/v1/skills/sanzineo-web-scout

## Description

A reconnaissance MCP server that discovers web data sources by monitoring network requests and extracting API structures, enabling AI to understand data location and format without full crawling.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/w9ea88bff8)
- **Repository:** <https://github.com/SanZiNEO/web-scout>

## 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": "sanzineo-web-scout"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sanzineo-web-scout` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sanzineo-web-scout/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