MCP深度研究服务器是一款旨在对复杂主题进行全面研究的工具。它帮助您深入探讨问题，查找相关资料，并生成结构化的研究报告。

你的专属研究助理，将研究问题转化为全面且引用充分的报告。

🚀 试试看

) YouTube：https://youtu.be/_a7sfo5yxoI

1. 下载Claude Desktop

• 在这里拿

2. 安装和设置

• 在 macOS 上，在终端中执行以下命令：

3. 开始研究

• 选择MCP中的深度研究提示模板
• 通过提供研究问题开始你的研究

特色

深度研究MCP服务器提供了完整的研究工作流程：

1. 问题展开

• 扩展并澄清你的研究问题
• 识别关键术语和概念
• 定义范围和参数

2. 子问题生成

• 创建针对不同方面的聚焦子问题
• 确保对主要主题的全面覆盖
• 为系统性研究提供结构

3. 网页搜索集成

• 使用 Claude 内置的网页搜索功能
• 对每个子问题进行有针对性搜索

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

Youtube: https://youtu.be/_a7sfo5yxoI

1. Download Claude Desktop

   • Get it here

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Development (Unpublished Servers)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