# jev-browser-control

> jev-browser-control — nexibeo-jev-browser-control. Use this tool when you need to automate browser interactions or integrate coding capabilities into your workflow. It solves problems related to automating tasks, such as clicking and interacting with web pages, and provides a cost-effective solution with fast decision-making. The tool takes input from users or AI models like Claude or ChatGPT, and outputs controlled browser actions through a Chrome extension and MCP server interface.

Canonical page: https://skillsregistry.net/skills/nexibeo-jev-browser-control  
JSON: https://api.skillsregistry.net/v1/skills/nexibeo-jev-browser-control

## Description

Let Claude code, chatgpt codex or control your own Chrome. Chrome extension + MCP server: Jev, TypeSafe's decision model, picks each click in ~0.5 s for a fraction of a cent. MIT, bring your own OpenRouter key.

## Trust

- **Trust score (0–1):** 0.55
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/nexibeo/jev-browser-control)

## 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": "nexibeo-jev-browser-control"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nexibeo-jev-browser-control` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nexibeo-jev-browser-control/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