by mzxrai
Research any topic fast with Web Research – powerful web scraping tools and advanced Google dorking for results you can
Performs Google searches and scrapes webpage content to bring real-time web information into your conversations.
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.
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.
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.
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
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
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
Share your MCP server with the developer community
Useful MCP listing: Web Research is the kind of server we cite when onboarding engineers to host + tool permissions.
We evaluated Web Research against two servers with overlapping tools; this profile had the clearer scope statement.
According to our notes, Web Research benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
Web Research has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
Web Research reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
Web Research is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
I recommend Web Research for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
Web Research is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
I recommend Web Research for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
We evaluated Web Research against two servers with overlapping tools; this profile had the clearer scope statement.
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A Model Context Protocol (MCP) server for web research.
Bring real-time info into Claude and easily research any topic.
npm and npx)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.
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.
search_google
{ query: string }visit_page
{ url: string, takeScreenshot?: boolean }take_screenshot
agentic-researchA guided research prompt that helps Claude conduct thorough web research. The prompt instructs Claude to:
We expose two things as MCP resources: (1) captured webpage screenshots, and (2) the research session.
When you take a screenshot, it's saved as an MCP resource. You can access captured screenshots in Claude Desktop via the Paperclip icon.
The server maintains a research session that includes:
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.
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
# Install dependencies
pnpm install
# Build the project
pnpm build
# Watch for changes
pnpm watch
# Run in development mode
pnpm dev
MIT
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
Prerequisites
Time Estimate
20-40 minutes including configuration and testing
Steps
Troubleshooting
✓ Do
✗ Don't
💡 Pro Tips
Architecture
MCP server handles HTTP requests, HTML parsing, JavaScript rendering (if headless browser), and returns structured data to Claude.
Protocols
Compatibility
✓ 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.