# Chrome MCP Server

> Use this tool when you need to automate browser interactions, analyze web content, or manipulate web elements with AI assistance. It solves problems related to web automation, content analysis, and interactive element control, providing over 20 tools for tasks like semantic tab search and network monitoring. The Chrome MCP Server takes existing browser sessions and login states as input and outputs automated browser control and analysis results, making it ideal for use cases that require seamless integration with the Chrome environment.

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

## Description

An extension-based MCP server that enables AI assistants to control your browser, leveraging existing sessions and login states for automation and content analysis. It provides over 20 tools for semantic tab search, interactive element manipulation, and network monitoring directly within your daily Chrome environment.

## Trust

- **Trust score (0–1):** 0.56
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/v6dz7fisga)
- **Repository:** <https://github.com/MNIsRed/mcp-chrome>

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

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

---
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
