# monkeysee

> Use this tool when you need to automate web interactions or test web applications in a real browser environment. Monkeysee enables users to drive a logged-in Chrome browser for tasks like navigation, clicking, and screenshotting, solving problems related to web automation and testing. It takes in automation commands as input and outputs the resulting browser interactions, making it ideal for use cases that require realistic browser simulation.

Canonical page: https://skillsregistry.net/skills/juliocesar-monkeysee  
JSON: https://api.skillsregistry.net/v1/skills/juliocesar-monkeysee

## Description

Enables MCP clients to drive a real, logged-in Chrome browser for web automation tasks like navigation, clicking, typing, and screenshotting.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uvvtu7qnjp)
- **Repository:** <https://github.com/juliocesar/monkeysee>

## 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": "juliocesar-monkeysee"
    }
  }
}
```

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