What is Deep Research MCP?
Deep Research MCP is an AI-powered research assistant that utilizes Gemini to perform iterative, deep research on various topics by integrating search engines, web scraping, and large language models. It is designed to create a research AI agent that refines its research direction over time.
How to use Deep Research MCP?
To use Deep Research MCP, you can either run it as an MCP tool for AI agents or use it standalone via the command line interface. For MCP, start the server and invoke it with a research query, depth, and breadth parameters. For standalone usage, run the CLI with your research query.
Key features of Deep Research MCP?
- MCP Integration: Seamless integration with AI agents.
- Iterative Research: Generates search queries and processes results iteratively.
- Intelligent Query Generation: Uses Gemini LLMs for targeted search queries.
- Depth & Breadth Control: Configurable parameters for research depth and breadth.
- Comprehensive Reports: Produces detailed markdown reports with findings.
- Persistent Knowledge: Utilizes PostgreSQL for storing research data.
Use cases of Deep Research MCP?
- Conducting in-depth research on emerging technologies.
- Gathering comprehensive information for academic papers.
- Assisting AI agents in knowledge retrieval and processing.
FAQ from Deep Research MCP?
- Can Deep Research MCP handle all research topics?
Yes! It can research a wide range of topics by leveraging various data sources.
- Is there a limit to the depth and breadth of research?
No, you can configure the depth and breadth parameters according to your needs.
- How does it store research data?
It uses a PostgreSQL database to persistently store research findings and URLs.