# Web Search

> Use this tool when you need to enhance AI models with real-time web data or perform tasks like information gathering and fact-checking. It provides a Puppeteer-based interface for AI assistants to perform Google searches and extract structured results, operating within a controlled environment that can handle modern web technologies. Ideal for use cases requiring dynamic content retrieval and parsing, such as content generation with current search results.

Canonical page: https://skillsregistry.net/skills/divslingerx-web-search  
JSON: https://api.skillsregistry.net/v1/skills/divslingerx-web-search

## Description

This MCP server, developed for web search capabilities, provides a Puppeteer-based interface for AI assistants to perform Google searches and extract structured results. Built with TypeScript and leveraging the Model Context Protocol SDK, it offers a containerized solution using Docker for easy deployment and scalability. The implementation focuses on headless browser automation, allowing for dynamic content retrieval and parsing. It's particularly useful for enhancing AI models with real-time web data, enabling tasks like information gathering, fact-checking, or content generation with current search results, while operating within a controlled environment that can handle modern web technologies and JavaScript-rendered content.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/divslingerx-web-search)
- **Repository:** <https://github.com/divslingerx/mcp-server>

## 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": "divslingerx-web-search"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/divslingerx-web-search` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/divslingerx-web-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