Mcp 服务器用于深度研究

什么是 MCP Server Deep Research？

MCP Server Deep Research 是一个由用户 reading-plus-ai 在 GitHub 上托管的创新项目。该存储库专注于服务器管理和优化领域的高级研究与开发。它旨在提供增强服务器性能、可扩展性和可靠性的工具和方法。该项目是公开可访问的，允许开发者和研究人员进行协作、贡献和利用可用资源。

MCP Server Deep Research 的特点

开源：该项目开放接受贡献，允许开发者分叉、点赞并在各种功能和改进上进行协作。
强大的文档：提供全面的文档，帮助用户理解工具的功能和实现。
社区支持：一个不断壮大的贡献者和用户社区，提供支持、分享见解并协作进行改进。
定期更新：该存储库积极维护，定期更新以引入新功能和修复错误。
许可证：该项目遵循 MIT 许可证，促进自由使用、修改和分发软件。

如何开始使用 MCP Server Deep Research

访问存储库：前往 MCP Server Deep Research GitHub 页面。

克隆存储库：使用 Git 将存储库克隆到本地计算机：

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

探索文档：查看 README 和其他文档文件，以了解项目结构和使用方法。
贡献：如果您希望贡献，请分叉存储库，进行更改，并提交拉取请求以供审核。
参与社区：加入讨论，报告问题，并参与社区，以增强您的学习并为项目做出贡献。

常见问题解答

Q1: MCP Server Deep Research 使用了哪些技术？

A1: 该项目使用了多种技术，包括 Python 和 JavaScript 等编程语言，以及支持服务器管理和优化的框架和库。

Q2: 我该如何报告问题或错误？

A2: 您可以通过导航到 GitHub 存储库上的“问题”标签，提交一个新问题，并详细说明问题。

Q3: 有办法为该项目贡献吗？

A3: 是的，欢迎贡献！您可以分叉存储库，进行更改，并提交拉取请求。确保遵循文档中列出的贡献指南。

Q4: 我可以将 MCP Server Deep Research 用于商业目的吗？

A4: 是的，该项目遵循 MIT 许可证，允许商业使用、修改和分发。

Q5: 存储库更新的频率如何？

A5: 该存储库积极维护，定期进行更新，以引入新功能、改进和修复错误。请查看提交历史以获取最新更改。

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

Download Claude Desktop
- Get it here
Install and Set Up
- On macOS, run the following command in your terminal:
```
python setup.py
```
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:

Question Elaboration
- Expands and clarifies your research question
- Identifies key terms and concepts
- Defines scope and parameters
Subquestion Generation
- Creates focused subquestions that address different aspects
- Ensures comprehensive coverage of the main topic
- Provides structure for systematic research
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
Content Analysis
- Evaluates information quality and relevance
- Synthesizes findings from multiple sources
- Provides proper citations for all sources
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

Sync Dependencies
```
uv sync
```
Build Distributions
```
uv build
```
Generates source and wheel distributions in the dist/ directory.
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.

Server配置

{
  "mcpServers": {
    "mcp-server-deep-research": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/metorial/mcp-container--reading-plus-ai--mcp-server-deep-research--mcp-server-deep-research",
        "mcp-server-deep-research"
      ],
      "env": {}
    }
  }
}