Deep Research MCP Server
What is Deep Research MCP Server?
Deep Research MCP Server 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 a given topic and structures this data in a format suitable for Large Language Models (LLMs) to create high-quality markdown documents.
How to use Deep Research MCP Server?
To use the server, you can run it directly using npx @pinkpixel/deep-research-mcp or install it globally with npm install -g @pinkpixel/deep-research-mcp. You will need to set up a Tavily API key and can customize the documentation prompt and output path through environment variables or command line arguments.
Key features of Deep Research MCP Server?
- Multi-step research combining AI-powered web search and deep content crawling.
- Structured JSON output optimized for LLM consumption.
- Configurable documentation prompt and output path.
- Granular control over search and crawl parameters.
- MCP compliance for seamless integration into AI agent ecosystems.
Use cases of Deep Research MCP Server?
- Conducting in-depth research on various topics.
- Generating technical documentation from aggregated web data.
- Assisting AI agents in gathering and structuring information for reports.
FAQ from Deep Research MCP Server?
- What is required to run the server?
You need Node.js (version 18.x or later) and a valid Tavily API key.
- Can I customize the output format?
Yes! You can set a custom documentation prompt to guide the LLM in generating markdown documents.
- Is the server compliant with any protocols?
Yes, it is compliant with the Model Context Protocol (MCP), making it suitable for integration with other MCP-based systems.