# chrome-mcp

> chrome-mcp — cheikh2shift-chrome-mcp. Use this tool when you need to provide AI agents with secure access to Chrome, enabling them to interact with web applications and automate browsing tasks. It solves problems related to secure browser automation and testing, allowing agents to access Chrome with controlled permissions. The tool takes Git repository inputs and outputs secure Chrome access configurations, ideal for use cases requiring automated browser interactions.

Canonical page: https://skillsregistry.net/skills/cheikh2shift-chrome-mcp  
JSON: https://api.skillsregistry.net/v1/skills/cheikh2shift-chrome-mcp

## Description

MCP to give AI Agent(s) secure access to Chrome

## 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:** MIT
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/cheikh2shift/chrome-mcp)

## 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": "cheikh2shift-chrome-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cheikh2shift-chrome-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cheikh2shift-chrome-mcp/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