# EyeBrowse

> Use this tool when you need to automate web browsing tasks with a high degree of anonymity and control, supporting use cases such as data extraction and web scraping. EyeBrowse takes input commands for navigation and interaction, and outputs extracted data and session management information. It is particularly useful in contexts where stealthy browsing is required, such as market research or competitive intelligence.

Canonical page: https://skillsregistry.net/skills/evil-bane-eyebrowse  
JSON: https://api.skillsregistry.net/v1/skills/evil-bane-eyebrowse

## Description

Enables LLMs to drive a stealthy, fingerprint-spoofed Firefox browser via MCP tools, supporting navigation, interaction, extraction, and multi-session management.

## Trust

- **Trust score (0–1):** 0.79
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/mw9u5616jl)
- **Repository:** <https://github.com/Evil-Bane/eyebrowse>

## 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": "evil-bane-eyebrowse"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/evil-bane-eyebrowse` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/evil-bane-eyebrowse/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