MCP DEEPwebresearch
The MCP Deep Web Research Server is an advanced web research tool based on the Model Context Protocol, providing intelligent search queues, enhanced content extraction, and in - depth research capabilities, and can integrate real - time information into Claude.
rating : 2 points
downloads : 16
What is the MCP Deep Web Research Server?
The MCP Deep Web Research Server is an advanced web research tool based on the Model Context Protocol (MCP). It helps users quickly obtain relevant information on the web and generate high - quality research reports through intelligent search and content analysis.How to use the MCP Deep Web Research Server?
Simply start the conversation window and send a research request. The server will automatically search, extract content, and generate a detailed analysis report.Applicable Scenarios
Suitable for scenarios requiring deep web research, such as academic research, market analysis, and news investigations.Main Features
Intelligent Search Queue SystemSupports batch search operations, with intelligent queuing, progress tracking, and error recovery functions.
Enhanced Content ExtractionUses the TF - IDF algorithm to perform keyword extraction and weight analysis on web page content, generating more accurate research reports.
Google Search IntegrationSeamlessly integrates the Google search engine, providing a wider range of information sources.
Directly Access Web PagesSupports directly accessing a specified URL and extracting its content.
Advantages and Limitations
Advantages
Powerful search and analysis capabilities
Supports multiple platforms (macOS, Windows)
Easy to integrate into existing systems
Limitations
The Linux platform is not fully supported yet
Some advanced features may require higher hardware configurations
How to Use
Install the Server
Install the server globally via npm or yarn.
Configure Claude Desktop
Add the server path to the configuration file of Claude Desktop.
Start Research
Enter a research request in Claude, such as 'Find the historical development of artificial intelligence'.
Usage Examples
Case 1: Academic ResearchFind the historical development of artificial intelligence.
Case 2: Market AnalysisAnalyze application cases of blockchain technology.
Frequently Asked Questions
How to solve the rate limit problem?
How to debug the server?
Which operating systems does the server support?
Related Resources
Official Documentation
Project source code and detailed instructions.
Installation Guide
Quick installation guide via Smithery.
Playwright Installation
Playwright browser automation tool.
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