# Scout

> Use this tool when you need to automate browser interactions and scrape data from web pages. Scout provides a single-binary MCP server with 66 tools for navigation, form filling, data extraction, and more, allowing AI agents to interact with web browsers seamlessly. It is ideal for use cases requiring automated web browsing, data extraction, and DOM analysis, with inputs including URLs and commands, and outputs including extracted data and screenshots.

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

## Description

single-binary MCP server that gives AI agents a browser. 66 tools for navigation, form filling, data extraction, screenshots, and DOM diffing — built on pure Chrome DevTools Protocol.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-07-05

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/odc0sku7jc)
- **Repository:** <https://github.com/klarlabs-studio/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": "felixgeelhaar-scout"
    }
  }
}
```

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