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Mcp Webresearch

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Description

MCP web research server (give Claude real-time info from the web)

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

MCP Web Research Server

A Model Context Protocol (MCP) server for web research.

Bring real-time info into Claude and easily research any topic.

Features

  • Google search integration
  • Webpage content extraction
  • Research session tracking (list of visited pages, search queries, etc.)
  • Screenshot capture

Prerequisites

Installation

First, ensure you've downloaded and installed the [Claude Desktop app](https://claude.ai/download) and you have npm installed.

Next, add this entry to your `claude_desktop_config.json` (on Mac, found at `~/Library/Application\ Support/Claude/claude_desktop_config.json`):

{
  "mcpServers": {
    "webresearch": {
      "command": "npx",
      "args": ["-y", "@mzxrai/mcp-webresearch@latest"]
    }
  }
}

This config allows Claude Desktop to automatically start the web research MCP server when needed.

Usage

Simply start a chat with Claude and send a prompt that would benefit from web research. If you'd like a prebuilt prompt customized for deeper web research, you can use the `agentic-research` prompt that we provide through this package. Access that prompt in Claude Desktop by clicking the Paperclip icon in the chat input and then selecting `Choose an integration` → `webresearch` → `agentic-research`.

Example screenshot of web research

Tools

  1. `search_google`

    • Performs Google searches and extracts results
    • Arguments: { query: string }
  2. `visit_page`

    • Visits a webpage and extracts its content
    • Arguments: { url: string, takeScreenshot?: boolean }
  3. `take_screenshot`

    • Takes a screenshot of the current page
    • No arguments required

Prompts

`agentic-research`

A guided research prompt that helps Claude conduct thorough web research. The prompt instructs