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Deeply Research Complex Topics and Generate Reports

Turns a research question into a structured, cited report by breaking it into subquestions, web-searching each, and synthesizing findings.

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91
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out of 100
Updated Mar 2025
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Version 1.0.0
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Why it matters

Conduct comprehensive research on complex topics, assisting users in deeply exploring questions, finding relevant sources, and generating structured reports with accurate citations.

Outcomes

What it gets done

01

Elaborate and refine research questions, identifying key terms.

02

Generate focused sub-questions for thorough topic coverage.

03

Integrate web search results for targeted research and content analysis.

04

Produce well-structured reports with accurate citations and evidence-based conclusions.

Install

Add it to your toolbox

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/vb-deep-research | bash

Capabilities

Tools your agent gets

elaborate_question

Expands and refines research questions, identifies key terms and concepts

generate_sub_questions

Creates focused sub-questions for comprehensive topic coverage

web_search

Conducts targeted web searches using Claude's built-in web search integration

analyze_content

Evaluates information quality and synthesizes findings from multiple sources

generate_report

Creates well-structured, comprehensive reports with accurate citations

Overview

Deep Research MCP Server

This MCP server drives a structured research workflow - question elaboration, subquestion generation, web search, source synthesis, and cited report generation - via a single deep-research prompt in Claude. Use it for systematic investigation of complex topics needing a cited, structured report. It relies entirely on Claude's built-in web search, so coverage is bounded by that search's results.

What it does

Deep Research MCP Server runs a complete research workflow inside Claude Desktop: it elaborates a research question (clarifying key terms, concepts, and scope), generates focused subquestions to ensure comprehensive coverage, uses Claude's built-in web search to find relevant and authoritative sources for each subquestion, analyzes and synthesizes the resulting content with proper citations, and produces a well-structured, evidence-based report as a Claude artifact.

When to use - and when NOT to

Use this when you have a complex research question and want a systematic, multi-step investigation rather than a single quick search - the server breaks the topic into subquestions, searches each one, and stitches the findings into a cited report with a balanced view. It depends entirely on Claude's built-in web search capability for source discovery, so its coverage and currency are bounded by whatever that search surfaces. It is a research-and-report tool, not a data-analysis or coding tool - use it for topic investigation and report writing, not for tasks like running code or querying databases.

Capabilities

Provides a single structured prompt, deep-research, that drives the full workflow: question elaboration, subquestion generation, targeted web search per subquestion, source evaluation and synthesis with citations, and final report generation in an artifact.

How to install

Install (macOS):

python setup.py

Claude Desktop configuration for a published server:

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

For development against an unpublished/local build, point command at uv with --directory /path/to/mcp-server-deep-research run mcp-server-deep-research instead. Once installed, select the deep-research prompt template in Claude and provide your research question to begin.

Who it's for

Anyone who wants a personal research assistant that turns a research question into a comprehensive, well-cited report - students, analysts, or writers investigating a complex topic who want Claude to systematically search, evaluate, and synthesize sources rather than answer from memory alone. Licensed MIT.

Source README

MCP Server for Deep Research

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.

Your personal Research Assistant, turning research questions into comprehensive, well-cited reports.

🚀 Try it Out

Watch the demo
Youtube: https://youtu.be/_a7sfo5yxoI

  1. Download Claude Desktop

  2. Install and Set Up

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

  3. Start Researching

    • Select the deep-research prompt template from MCP
    • Begin your research by providing a research question

Features

The Deep Research MCP Server offers a complete research workflow:

  1. Question Elaboration

    • Expands and clarifies your research question
    • Identifies key terms and concepts
    • Defines scope and parameters

  2. Subquestion Generation

    • Creates focused subquestions that address different aspects
    • Ensures comprehensive coverage of the main topic
    • Provides structure for systematic research

  3. Web Search Integration

    • Uses 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 as artifacts
    • Properly cites all sources used
    • Presents a balanced view with evidence-based conclusions
    • Uses appropriate formatting for clarity and readability

📦 Components

Prompts

  • deep-research: Tailored for comprehensive research tasks with a structured approach

⚙️ Modifying the Server

Claude Desktop Configurations

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

Development (Unpublished Servers)

"mcpServers": {
  "mcp-server-deep-research": {
    "command": "uv",
    "args": [
      "--directory",
      "/Users/username/repos/mcp-server-application/mcp-server-deep-research",
      "run",
      "mcp-server-deep-research"
    ]
  }
}

Published Servers

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

🛠️ Development

Building and Publishing

  1. Sync Dependencies

    uv sync

  2. Build Distributions

    uv build

    Generates source and wheel distributions in the dist/ directory.

  3. Publish to PyPI

    uv publish

🤝 Contributing

Contributions are welcome! Whether you're fixing bugs, adding features, or improving documentation, your help makes this project better.

📜 License

This project is licensed under the MIT License.
See the LICENSE file for details.

FAQ

Common questions

Discussion

Questions & comments · 0

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