# browserdo

> browserdo — zhaijunlong-browserdo. Use this tool when you need to integrate AI functionality with a Windows browser while maintaining simultaneous PC usage. Browserdo solves problems of AI-agent compatibility and resource allocation by providing an MCP server for Embiody, allowing seamless interaction between AI and browser. It takes git inputs and outputs AI-driven browser actions, ideal for use cases requiring concurrent human-AI computing.

Canonical page: https://skillsregistry.net/skills/zhaijunlong-browserdo  
JSON: https://api.skillsregistry.net/v1/skills/zhaijunlong-browserdo

## Description

MCP server for Embiody, the Windows browser your AI agent works in while you keep using your PC.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-11-07

## Source

- **Source listing:** [GitHub](https://github.com/zhaijunlong/browserdo)

## 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": "zhaijunlong-browserdo"
    }
  }
}
```

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