Mcp 伺服器用於深入研究

MCP伺服器深度研究是什麼？

MCP伺服器深度研究是一個由用戶reading-plus-ai在GitHub上主辦的創新項目。這個庫專注於伺服器管理和優化領域的先進研究和開發。它旨在提供增強伺服器性能、可擴展性和可靠性的工具和方法論。該項目是公開可訪問的，允許開發者和研究人員協作、貢獻並利用可用的資源。

MCP伺服器深度研究的特點

• 開源：該項目歡迎貢獻，允許開發者分叉、標星和協作各種功能和改進。
• 強大的文檔：提供全面的文檔，幫助用戶理解工具的功能和實施。
• 社區支持：一個不斷增長的貢獻者和用戶社區，提供支持、分享見解並協作改進。
• 定期更新：該庫積極維護，定期更新以引入新功能和修復錯誤。
• 授權：該項目根據MIT許可證授權，促進使用、修改和分發軟件的自由。

如何開始使用MCP伺服器深度研究

1. 訪問庫：前往MCP伺服器深度研究GitHub頁面。
2. 克隆庫：使用Git將庫克隆到本地機器：

   git clone https://github.com/reading-plus-ai/mcp-server-deep-research.git
   

3. 探索文檔：查看README和其他文檔文件，以了解項目結構和用法。
4. 貢獻：如果您希望貢獻，請分叉庫，進行更改，並提交拉取請求以供審核。
5. 參與社區：加入討論、報告問題，並參與社區以增強您的學習並為項目做出貢獻。

常見問題

Q1：MCP伺服器深度研究使用了哪些技術？

A1：該項目使用了多種技術，包括Python和JavaScript等編程語言，以及支持伺服器管理和優化的框架和庫。

Q2：我如何報告問題或錯誤？

A2：您可以通過導航到GitHub庫的“問題”選項卡，提交一個新問題，並詳細說明問題來報告問題。

Q3：有什麼方法可以為該項目做出貢獻？

A3：是的，歡迎貢獻！您可以分叉庫，進行更改並提交拉取請求。請確保遵循文檔中概述的貢獻指南。

Q4：我可以將MCP伺服器深度研究用於商業目的嗎？

A4：是的，該項目根據MIT許可證授權，允許商業使用、修改和分發。

Q5：庫更新的頻率如何？

A5：該庫積極維護，定期進行更新以引入新功能、改進和錯誤修復。請查看提交歷史以獲取最新更改。

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
   

🤝 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.