# Web Research

> Use this tool when you need to conduct in-depth research or fact-checking within AI conversations. It solves problems of information gathering and topic exploration by providing web browsing capabilities for Google searches and webpage content extraction. With inputs of research prompts and outputs of extracted information and screenshots, use it for deep topic analysis, fact verification, or gathering data directly within conversational workflows.

Canonical page: https://skillsregistry.net/skills/chuanmingliu-webresearch  
JSON: https://api.skillsregistry.net/v1/skills/chuanmingliu-webresearch

## Description

MCP-WebResearch provides AI assistants with web browsing capabilities for conducting research through Google searches and webpage content extraction. Built with TypeScript using Playwright for browser automation and Turndown for HTML-to-Markdown conversion, it offers tools to search Google, visit webpages, and capture screenshots while handling common challenges like consent dialogs and bot detection. The implementation includes an agentic research prompt that guides assistants through iterative research workflows, making it particularly valuable for deep topic exploration, fact-checking, and information gathering directly within AI conversations.

## Trust

- **Trust score (0–1):** 0.93
- **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/chuanmingliu-webresearch)
- **Repository:** <https://github.com/chuanmingliu/mcp-webresearch>

## 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": "chuanmingliu-webresearch"
    }
  }
}
```

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