deep-research-mcp-server
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Deep-research is an AI-powered research assistant that leverages search engines, web scraping, and Gemini LLMs to conduct iterative, deep research.
Deep-research is a tool designed to facilitate comprehensive research by integrating advanced language models and web scraping technologies. It utilizes Firecrawl for efficient data extraction and Gemini LLMs for generating intelligent queries and reports. The project aims to provide a simple yet effective implementation of a research agent, with a codebase under 500 lines of code. Key features include MCP integration, iterative deep dive capabilities, and the ability to generate comprehensive markdown reports. The tool is designed to be easily understood, modified, and extended, making it suitable for various research needs.
Features
- MCP Integration: Seamlessly integrates as a Model Context Protocol tool into AI agent ecosystems.
- Iterative Deep Dive: Explores topics deeply through iterative query refinement and result processing.
- Gemini-Powered Queries: Leverages Gemini LLMs to generate smart, targeted search queries.
- Depth & Breadth Control: Configurable depth and breadth parameters for precise research scope.
- Smart Follow-up Questions: Intelligently generates follow-up questions for query refinement.
