Deep Research MCP Server

Created By
pinkpixel-deva year ago
A 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 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?

  1. Conducting in-depth research on various topics.
  2. Generating technical documentation from aggregated web data.
  3. 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.

Project Info
Created At
a year ago
Updated At
a year ago
Author Name
pinkpixel-dev
Star
12
Language
JavaScript
License
MIT license

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