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MCP Server for Deep Research

by reading-plus-ai

MCP Server for Deep Research is a tool designed for conducting comprehensive research on complex topics. It helps you explore questions in depth, find relevant sources, and generate structured research reports.

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What is MCP Server for Deep Research?

The Deep Research MCP Server is a personal research assistant that turns research questions into comprehensive, well-cited reports using Claude's web search capabilities and structured analysis.

How to use MCP Server for Deep Research?

  1. Download Claude Desktop. 2. Install and set up the server using the provided command. 3. Select the deep-research prompt template from MCP. 4. Begin your research by providing a research question.

Key features of MCP Server for Deep Research

  • Question Elaboration

  • Subquestion Generation

  • Web Search Integration

  • Content Analysis

  • Report Generation

Use cases of MCP Server for Deep Research

  • Comprehensive research on complex topics

  • Generating structured research reports

  • Exploring questions in depth

  • Finding relevant sources

  • Creating well-cited reports

FAQ from MCP Server for Deep Research

What is Question Elaboration?

Expands and clarifies your research question, identifies key terms and concepts, and defines scope and parameters.

What is Subquestion Generation?

Creates focused subquestions that address different aspects, ensures comprehensive coverage of the main topic, and provides structure for systematic research.

How does Web Search Integration work?

Uses Claude's built-in web search capabilities, performs targeted searches for each subquestion, identifies relevant and authoritative sources, and collects diverse perspectives on the topic.

What does Content Analysis do?

Evaluates information quality and relevance, synthesizes findings from multiple sources, and provides proper citations for all sources.

What kind of reports does it generate?

Creates well-structured, comprehensive reports as artifacts, properly cites all sources used, presents a balanced view with evidence-based conclusions, and uses appropriate formatting for clarity and readability.