iflow-mcp_mcherukara-claude-deep-research

# Claude Deep Research An MCP (Model Context Protocol) server that enables comprehensive research capabilities for Claude and other MCP-compatible AI assistants. This server integrates web and academic search functionality, allowing AI models to access current information from multiple sources, follow relevant links, and provide well-structured research results. ## Overview Claude Deep Research is a powerful research tool that extends the capabilities of LLMs by providing: 1. **Web search** integration through DuckDuckGo 2. **Academic research** access through Semantic Scholar 3. **Content extraction** from web pages 4. **Comprehensive analysis** with structured formatting 5. **Visualization guidance** for data representation The server follows MCP design principles to provide a seamless integration with Claude and other AI assistants. ## Features - **Unified Research Tool**: Single interface for web and academic information - **Multi-Source Integration**: Combines information from various sources into cohesive research - **Content Extraction**: Pulls relevant information from web pages - **Academic Source Discovery**: Finds scholarly articles related to your topic - **Smart Formatting**: Properly formats research with citations - **Visual Framework**: Provides guidance for creating effective data visualizations - **Structured Analysis**: Organizes research using academic methodologies  ## Installation ### Prerequisites - Python 3.8 or higher - pip or uv package manager ### Quick Install ```bash # Using pip pip install mcp httpx beautifulsoup4 # Clone the repository git clone https://github.com/yourusername/claude-deep-research.git ``` ## Configuration The server works out of the box with default settings, but you can modify the following parameters in deep_research.py for customization: ```python # Configuration USER_AGENT = "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrom…