Perform targeted web research, generate intelligent suggestions, and store findings in memory for efficient task management. Combines web research with local knowledge caching to enhance research workflow.
Extract comprehensive web content, including images, using deep scraping techniques with customizable parameters such as scroll depth, image size, and pagination. Output data to a specified directory for thorough analysis.
Initiate an AI-powered deep research task for complex queries, enabling extensive web searches, information analysis, and detailed report generation. Use this tool for in-depth research requiring critical analysis and thorough, well-sourced answers.
Access the OSP On-Page SEO Optimization Guide to optimize web content with meta tags, keyword research, content depth, search intent alignment, internal linking, and structured data.
Perform in-depth research on complex topics using AI agents that search multiple sources, analyze findings, and compile comprehensive reports for thorough investigations.
Perform in-depth topic research by combining web search results and LLM-based synthesis. Input a topic to generate detailed, locally processed insights using the MCP server's advanced capabilities.
Comprehensive web research toolkit with 13 tools for searching (via SearXNG), crawling, package discovery, GitHub metrics, error translation, API documentation lookup, data extraction, technology comparison, and service status checking.
Enables automated web research and intelligence gathering through recursive web crawling, multi-engine search integration, and persistent SQLite storage with support for keyword filtering and multiple export formats.
Provides access to clean code guide documents and enables code quality inspection of external project files based on coding standards and best practices.