Deep Research

About

Deep Research is an intelligent Model Context Protocol (MCP) server designed to empower AI assistants with advanced research capabilities. It employs a unique consensus-driven approach, leveraging 3-5 LLMs to collaboratively vote on research strategy before dynamically orchestrating information gathering across diverse sources like web search, academic papers, and library documentation. The tool delivers comprehensive, validated insights with built-in fact-checking, ensuring production-ready reports with enforced numeric specificity, inline citations, and multi-model validation.

Key Features

• Consensus-driven research planning with multiple LLMs
• Multi-model validation pipeline for critical challenge and consensus voting
• Token-efficient phased synthesis with key findings extraction
• Automated code validation against authoritative documentation
• Multi-source search across web, academic papers (arXiv), and library documentation (Context7)
• 1 GitHub stars

Use Cases

• Generating comprehensive overviews of complex technical topics for AI assistants.
• Creating high-quality evaluation datasets for LLM testing with detailed context.
• Verifying claims and citations within AI-generated research reports for accuracy.