DE

Deep_research

#deep-research#web-search
Created by Hajime-Y2025/03/27
0.0 (0 reviews)

What is Deep_research?

what is Deep Research? Deep Research is an agent-based tool designed for advanced web search and research capabilities, utilizing HuggingFace's smolagents framework as an MCP server. how to use Deep Research? To use Deep Research, clone the repository, set up the required environment variables, and start the MCP server using the command uv run deep_research.py. key features of Deep Research? Web search and information gathering PDF and document analysis Image analysis and description YouTube transcript retrieval Archive site search use cases of Deep Research? Conducting comprehensive web searches for academic research. Analyzing and extracting information from PDF documents. Describing and analyzing images for research purposes. Retrieving transcripts from YouTube videos for content analysis. Searching archived websites for historical data. FAQ from Deep Research? What are the system requirements for Deep Research? You need Python 3.11 or higher and the uv package manager, along with specific API keys. How do I obtain the required API keys? You can sign up at the respective services like OpenAI, HuggingFace, and Serper.dev to get the necessary API keys. Is there a license for this project? Yes, the project is provided under a specific license, which can be found in the repository.

As an MCP (Model Context Protocol) server, Deep_research enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.

How to use Deep_research

To use Deep Research, clone the repository, set up the required environment variables, and start the MCP server using the command uv run deep_research.py. key features of Deep Research? Web search and information gathering PDF and document analysis Image analysis and description YouTube transcript retrieval Archive site search use cases of Deep Research? Conducting comprehensive web searches for academic research. Analyzing and extracting information from PDF documents. Describing and analyzing images for research purposes. Retrieving transcripts from YouTube videos for content analysis. Searching archived websites for historical data. FAQ from Deep Research? What are the system requirements for Deep Research? You need Python 3.11 or higher and the uv package manager, along with specific API keys. How do I obtain the required API keys? You can sign up at the respective services like OpenAI, HuggingFace, and Serper.dev to get the necessary API keys. Is there a license for this project? Yes, the project is provided under a specific license, which can be found in the repository.

Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.

Use Cases for this MCP Server

  • No use cases specified.

MCP servers like Deep_research can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.

About Model Context Protocol (MCP)

The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like Deep_research provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.

Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.