Deep Research MCP server

Guides structured research processes through systematic question elaboration, web searching, and data synthesis to produce well-cited, properly formatted reports for educational and professional contexts.
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Provider
ReadingPlus.AI
Release date
Mar 23, 2025
Language
Python
Stats
80 stars

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 with proper citations. This personal Research Assistant transforms research questions into comprehensive, well-cited reports.

Installation Guide

Prerequisites

  • Claude Desktop app

Step-by-Step Installation

  1. Download Claude Desktop

  2. Install the MCP Server

    • On macOS, run the following command in your terminal:
    python setup.py
    

Usage Instructions

Starting Your Research

  1. Open Claude Desktop
  2. Select the "deep-research" prompt template from MCP
  3. Begin your research by providing a research question

Research Workflow

The Deep Research MCP Server guides you through a complete research workflow:

  1. Question Elaboration

    • The system expands and clarifies your research question
    • Identifies key terms and concepts
    • Defines scope and parameters
  2. Subquestion Generation

    • Creates focused subquestions addressing different aspects of your topic
    • Ensures comprehensive coverage of the main topic
    • Provides structure for systematic research
  3. Web Search Integration

    • Utilizes Claude's built-in web search capabilities
    • Performs targeted searches for each subquestion
    • Identifies relevant and authoritative sources
    • Collects diverse perspectives on the topic
  4. Content Analysis

    • Evaluates information quality and relevance
    • Synthesizes findings from multiple sources
    • Provides proper citations for all sources
  5. Report Generation

    • Creates well-structured, comprehensive reports
    • Properly cites all sources used
    • Presents a balanced view with evidence-based conclusions
    • Uses appropriate formatting for clarity and readability

Configuration Options

Claude Desktop Configuration Files

You can modify the MCP server configuration in the Claude Desktop configuration files:

  • macOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%/Claude/claude_desktop_config.json

Configuration Examples

For published servers:

"mcpServers": {
  "mcp-server-deep-research": {
    "command": "uvx",
    "args": [
      "mcp-server-deep-research"
    ]
  }
}

Demo and Examples

You can watch a demonstration of the MCP Server for Deep Research on YouTube: https://youtu.be/_a7sfo5yxoI

How to add this MCP server to Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > MCP and click "Add new global MCP server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "cursor-rules-mcp": {
            "command": "npx",
            "args": [
                "-y",
                "cursor-rules-mcp"
            ]
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explictly ask the agent to use the tool by mentioning the tool name and describing what the function does.

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