# Google Search (via Chrome)

> Use this tool when you need to access up-to-date web information and automate browser interactions for searches and content extraction. It solves problems like fact-checking, research assistance, and content generation by bridging AI models with web-based information sources. The tool takes in search queries and webpage URLs as inputs and outputs extracted content, making it a valuable asset for enhancing AI capabilities with real-time web data.

Canonical page: https://skillsregistry.net/skills/cmann50-chrome-google-search  
JSON: https://api.skillsregistry.net/v1/skills/cmann50-chrome-google-search

## Description

This MCP tool, developed by Chris Mann, enables Google search and webpage content extraction using the Chrome browser. Built with TypeScript and leveraging the Model Context Protocol SDK, it provides a bridge between AI models like Claude and web-based information sources. The implementation focuses on automating browser interactions to perform searches and extract content, making it easier for AI systems to access up-to-date web information. It's particularly useful for enhancing AI capabilities with real-time web data, enabling use cases like fact-checking, research assistance, and content generation that requires current online information.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/cmann50-chrome-google-search)
- **Repository:** <https://github.com/cmann50/mcp-chrome-google-search>

## 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": "cmann50-chrome-google-search"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cmann50-chrome-google-search` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cmann50-chrome-google-search/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