6 months ago
research-and-dataA Model Context Protocol (MCP) compliant server designed for comprehensive web research. It uses Tavily's Search and Crawl APIs to gather detailed information on a given topic, then structures this data in a format perfect for LLMs to create high-quality markdown documents.
Overview
What is Deep Research MCP?
Deep Research MCP is a Model Context Protocol (MCP) compliant server designed for comprehensive web research. It utilizes Tavily's Search and Crawl APIs to gather detailed information on various topics and structures this data for high-quality markdown document creation using large language models (LLMs).
How to use Deep Research MCP?
To use Deep Research MCP, clone the repository, install the dependencies, and run the server. You can then send requests to the API to gather information on specific topics.
Key features of Deep Research MCP?
- MCP Compliance: Ensures compatibility with various tools and services.
- Data Aggregation: Efficiently gathers and structures data from multiple sources.
- Markdown Generation: Converts gathered data into well-structured markdown documents.
- Web Crawling: Utilizes Tavily's Search and Crawl APIs for in-depth web research.
- Built with Node.js and TypeScript for better performance and maintainability.
Use cases of Deep Research MCP?
- Conducting in-depth research on topics like Artificial Intelligence.
- Generating structured markdown documents for academic papers.
- Aggregating data from multiple sources for comprehensive reports.
FAQ from Deep Research MCP?
- Is Deep Research MCP free to use?
Yes! Deep Research MCP is free to use for everyone.
- Can I contribute to Deep Research MCP?
Yes! Contributions are welcome. Please follow the contributing guidelines in the repository.
- What technologies are used in Deep Research MCP?
The project is built using Node.js and TypeScript.