search-webbrowser-automation

Web Research

mzxrai

by mzxrai

Research any topic fast with Web Research – powerful web scraping tools and advanced Google dorking for results you can

Research topics using Google search and web scraping.

github stars

292

0 commentsdiscussion

Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.

Includes guided research prompt templateZero setup with npx installation

best for

  • / Getting up-to-date information on current events
  • / Research projects requiring recent data
  • / Content creators needing current market insights

capabilities

  • / Search Google for current information
  • / Extract content from webpages
  • / Take screenshots of web pages
  • / Track research sessions with visited pages and queries

what it does

Performs Google searches and scrapes webpage content to bring real-time web information into your conversations.

about

Web Research is a community-built MCP server published by mzxrai that provides AI assistants with tools and capabilities via the Model Context Protocol. Research any topic fast with Web Research – powerful web scraping tools and advanced Google dorking for results you can It is categorized under search web, browser automation.

how to install

You can install Web Research in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.

license

MIT

Web Research is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.

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 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 integrationwebresearchagentic-research.

<img src="https://i.ibb.co/N6Y3C0q/Screenshot-2024-12-05-at-11-01-27-PM.png" alt="Example screenshot of web research" width="400"/>

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 Claude to:

  • Start with broad searches to understand the topic landscape
  • Prioritize high-quality, authoritative sources
  • Iteratively refine the research direction based on findings
  • Keep you informed and let you guide the research interactively
  • Always cite sources with URLs

Resources

We expose two things as MCP resources: (1) captured webpage screenshots, and (2) the research session.

Screenshots

When you take a screenshot, it's saved as an MCP resource. You can access captured screenshots in Claude Desktop via the Paperclip icon.

Research Session

The server maintains a research session that includes:

  • Search queries
  • Visited pages
  • Extracted content
  • Screenshots
  • Timestamps

Suggestions

For the best results, if you choose not to use the agentic-research prompt when doing your research, it may be helpful to suggest high-quality sources for Claude to use when researching general topics. For example, you could prompt news today from reuters or AP instead of news today.

Problems

This is very much pre-alpha code. And it is also AIGC, so expect bugs.

If you run into issues, it may be helpful to check Claude Desktop's MCP logs:

tail -n 20 -f ~/Library/Logs/Claude/mcp*.log

Development

# Install dependencies
pnpm install

# Build the project
pnpm build

# Watch for changes
pnpm watch

# Run in development mode
pnpm dev

Requirements

  • Node.js >= 18
  • Playwright (automatically installed as a dependency)

Verified Platforms

  • macOS
  • Linux

License

MIT

Author

mzxrai

FAQ

What is the Web Research MCP server?
Web Research is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
How do MCP servers relate to agent skills?
Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
How are reviews shown for Web Research?
This profile displays 27 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.

Use Cases

Web Research & Information Gathering

Fetch and extract information from websites automatically

Example

Research competitor pricing, scrape product reviews, monitor news mentions

Automate 5-10 hours/week of manual web research

Content Monitoring & Alerts

Track website changes, new content, price updates

Example

Monitor competitor blog for new posts, track stock availability, watch for pricing changes

Stay informed without manual checking, never miss important updates

Data Extraction & Aggregation

Extract structured data from multiple websites

Example

Compile product listings from 10 e-commerce sites, aggregate job postings, collect real estate data

Build datasets 100x faster than manual copying

API-less Integration

Interact with services that don't offer APIs

Example

Check form submissions, validate website functionality, test user flows

Automate interactions with any website, even without API

Implementation Guide

Prerequisites

  • Claude Desktop or Cursor with MCP support
  • Understanding of web scraping ethics and robots.txt
  • Rate limiting awareness to avoid overwhelming target sites
  • Knowledge of legal restrictions on data collection

Time Estimate

20-40 minutes including configuration and testing

Installation Steps

  1. 1.Install web automation MCP server via npm or pip
  2. 2.Configure allowed domains and rate limits in MCP config
  3. 3.Test with simple fetch: 'Get content from example.com'
  4. 4.Progress to extraction: 'Extract all product prices from this page'
  5. 5.Set up monitoring: 'Check this URL daily for changes'
  6. 6.Parse structured data: 'Create CSV from this table'
  7. 7.Respect robots.txt and rate limits always

Troubleshooting

  • 403 Forbidden: Website blocks bots—respect their wishes, use official API instead
  • Rate limit errors: Slow down requests, add delays between fetches
  • Stale data: Target site changed HTML structure—update selectors
  • Timeout errors: Site is slow or blocking—increase timeout, try different user agent
  • JavaScript-rendered content: Use headless browser MCP servers for dynamic sites

Best Practices

✓ Do

  • +Check robots.txt and respect crawl rules
  • +Rate limit requests: 1-2 requests/second maximum
  • +Use official APIs when available instead of scraping
  • +Identify your bot with descriptive user agent
  • +Cache results to minimize repeated requests
  • +Handle errors gracefully with retries and fallbacks
  • +Validate extracted data for accuracy

✗ Don't

  • Don't scrape sites that explicitly forbid it (robots.txt, ToS)
  • Don't overwhelm servers with rapid requests—use rate limiting
  • Don't scrape personal data without consent and legal basis
  • Don't ignore copyright on extracted content
  • Don't assume HTML structure is stable—handle changes
  • Don't use scraped data for commercial purposes without permission

💡 Pro Tips

  • Use CSS selectors or XPath for robust data extraction
  • Set up monitoring alerts for extraction failures (structure changed)
  • Implement exponential backoff for retries on failures
  • Store raw HTML for reprocessing if extraction logic changes
  • Combine with data analysis tools for insights from extracted data
  • Consider using official APIs or RSS feeds as more stable alternatives

Technical Details

Architecture

MCP server handles HTTP requests, HTML parsing, JavaScript rendering (if headless browser), and returns structured data to Claude.

Protocols

  • HTTP/HTTPS
  • WebSocket (for real-time sites)
  • Puppeteer/Playwright (for JavaScript sites)

Compatibility

  • Static HTML sites
  • JavaScript-rendered SPAs (with headless browser)
  • REST APIs
  • GraphQL endpoints

When to Use This

✓ Use When

Use for research automation, content monitoring, data aggregation from multiple sources, and when official APIs don't exist. Best for read-only information gathering.

✗ Avoid When

Avoid for sites with APIs (use API instead), sites that explicitly forbid scraping, when data is copyrighted, or for login-required content without proper authorization.

Integration

  • Scheduled monitoring with change detection
  • Multi-source data aggregation pipelines
  • Fallback to web scraping when API rate limits hit
  • Headless browser for JavaScript-heavy sites

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.

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Ratings

4.527 reviews
  • Shikha Mishra· Dec 4, 2024

    Useful MCP listing: Web Research is the kind of server we cite when onboarding engineers to host + tool permissions.

  • Amelia Sanchez· Dec 4, 2024

    We evaluated Web Research against two servers with overlapping tools; this profile had the clearer scope statement.

  • Yash Thakker· Nov 23, 2024

    According to our notes, Web Research benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.

  • Kaira Garcia· Nov 23, 2024

    Web Research has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.

  • Sakshi Patil· Nov 3, 2024

    Web Research reduced integration guesswork — categories and install configs on the listing matched the upstream repo.

  • Chaitanya Patil· Oct 22, 2024

    Web Research is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.

  • Dhruvi Jain· Oct 14, 2024

    I recommend Web Research for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Daniel Park· Oct 14, 2024

    Web Research is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.

  • Nia Chawla· Sep 21, 2024

    I recommend Web Research for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.

  • Kabir Martinez· Sep 1, 2024

    We evaluated Web Research against two servers with overlapping tools; this profile had the clearer scope statement.

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