MCP Web Research Server
A server for web research that brings real-time information into AI models like Claude.
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
- Node.js >= 18 (includes
npmandnpx) - Claude Desktop app
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 integration → webresearch → agentic-research.
Tools
-
search_google- Performs Google searches and extracts results
- Arguments:
{ query: string }
-
visit_page- Visits a webpage and extracts its content
- Arguments:
{ url: string, takeScreenshot?: boolean }
-
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
เซิร์ฟเวอร์ที่เกี่ยวข้อง
Bright Data
ผู้สนับสนุนDiscover, extract, and interact with the web - one interface powering automated access across the public internet.
Tech Collector MCP
Collects and summarizes technical articles from sources like Qiita, Dev.to, NewsAPI, and Hacker News using the Gemini API.
Crawl MCP
An MCP server for crawling WeChat articles. It supports single and batch crawling with multiple output formats, designed for AI tools like Cursor.
Claimify
Extracts factual claims from text using the Claimify methodology. Requires an OpenAI API key.
PlayMCP Browser Automation Server
A server for browser automation using Playwright, providing powerful tools for web scraping, testing, and automation.
Daft.ie MCP Server
Search and retrieve rental property details from Daft.ie via web scraping.
Browserbase
Automate browser interactions in the cloud (e.g. web navigation, data extraction, form filling, and more)
Hyperbrowser
Hyperbrowser is the next-generation platform empowering AI agents and enabling effortless, scalable browser automation.
Read Website Fast
Fast, token-efficient web content extraction that converts websites to clean Markdown. Features Mozilla Readability, smart caching, polite crawling with robots.txt support, and concurrent fetching with minimal dependencies.
Postman V2
An MCP server that provides access to Postman using V2 api version.
Scrapeless
Integrate real-time Scrapeless Google SERP(Google Search, Google Flight, Google Map, Google Jobs....) results into your LLM applications. This server enables dynamic context retrieval for AI workflows, chatbots, and research tools.