Deep Research

This MCP server implementation provides an AI-powered research assistant for conducting iterative, deep research on any topic. Developed by ssdeanx, it combines search engines, web scraping, and Gemini large language models to perform comprehensive literature reviews, generate insights, and produce detailed reports. The server is built using TypeScript and integrates with Firecrawl for web data extraction and Gemini for advanced language understanding. It offers configurable depth and breadth parameters for research exploration, concurrent processing for efficiency, and outputs structured Markdown reports with source citations. The implementation is designed as a lightweight, extensible foundation (<500 LoC) for building more sophisticated AI-driven research tools, making it particularly useful for applications requiring automated literature analysis, hypothesis generation, or knowledge synthesis across various domains.