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Schedulizer Server P1 Redes

MCP Server

一个基于LLM(Claude)的任务管理和日程生成工具,支持本地和远程服务器操作,适用于学生和工作者优化时间管理。

工具数

6

提示词数

0

GitHub Stars

0

资源数

0
教育工具PythonClaudeClaude

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

作者 / 组织

BrandonReyes0609

提供方

BrandonReyes0609

最后核验

2026/5/17 20:23

快速接入

先看主来源和安装命令,再打开仓库或文档;下面只保留这个条目的关键接入事实。

命令预览

pip install flask

详细介绍

🤖 项目1网络(调度服务器)

自述(西班牙语)->docsreadme_run_es.md

本文档描述了为开发的host agent的操作 项目1-使用现有协议(CC3067),它使用 法学硕士(克劳德) 通过某种方式解释自然语言指令并执行工具 本地MCP服务器 与官方协议兼容。

编制人: 布兰登·雷耶斯·莫拉莱斯22992

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可用工具

本地MCP服务器(mcp_schedulizer.py)

主题: 任务管理和进度生成(Schedulizer)

主要功能:

  • 添加具有持续时间、优先级和截止日期的任务
  • 列出任务(list_tasks)
  • 生成优化的时间表(generate_schedule)
  • 将任务保存在本地 tasks_db.json

目标: 作为项目的核心,模拟一个根据你的任务组织你一周的助理。它可以扩展到优先考虑课程、工作、休息等。

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远程MCP服务器(谷歌云运行)

主题: 补充教育服务和福祉

已实现的功能:

  • suggest_breaks:建议日程表中任务之间的休息时间
  • daily_quote:返回当天的励志名言

目标: 扩展助手的功能,支持学生或员工的幸福感,通过动力和健康的停顿来提高生产力。作为云托管服务器的示例。

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💬 对话示例

在线服务器

Google Cloud(FastAPI)上的远程服务器示例:

Can you suggest breaks if I study for 4 hours?
Give me a motivational quote
Add a task to study networks...
Write to file notes.txt

*建议_休息——番茄风格建议*

If I plan to study 3 hours, how many breaks should I take?
I’ll work for 5 hours straight, can you suggest pauses?
Can you give me a Pomodoro-style routine for 2.5 hours of study?
Give me a list of breaks if I plan a 4-hour study session
I want to organize my 6-hour workday with breaks every 45 minutes
Suggest work and break blocks for a 3-hour session

*daily_quote——励志名言*

Give me a motivational quote to start my day
Do you have a positive quote to inspire me today?
I want an inspiring quote, please
Motivate me with a quote for studying
Can you give me a quote that helps me focus?

如何验证远程服务器是否正在使用?

您应该在控制台中看到类似这样的内容:

🔗 Claude API used to interpret user instructions...
🔧 Executing 'suggest_breaks' with: {'hours': 4}
🌐 Using remote server on Google Cloud (endpoint /suggest_breaks)
📬 Response: { ... }

🔧 Executing 'daily_quote' with: {}
🌐 Using remote server on Google Cloud (endpoint /daily_quote)

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本地服务器

任务输入示例(add_task):

Add a task to study for the networks final, 90 minutes, deadline 2025-09-30
Add a task to study for the networks exam, 90 minutes, deadline 2025-09-30, high priority, category university
Create a new task called “Read chapter 5 of artificial intelligence,” duration 60 minutes, deadline 2025-10-01, medium priority, category study
Add a task to review algorithms, duration 45 minutes, deadline 2025-09-25, low priority, category university
Add a task to write the networks lab report, 120 minutes, deadline 2025-10-02, category university, high priority
Register a task to review cybersecurity for 30 minutes before September 28, category work, medium priority

列出任务的示例(list_tasks):

Show me all my tasks
What tasks do I have pending?
I want to see my task list

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文件系统MCP服务器(STDIO)示例

*write_file--写入或创建文件*

Create a file called resumen.txt with the content: OSI model layers and their functions
Write in a file called tareas.txt the following: study networks, program simulator
Save in notes/monday.txt: review Claude and remote server tasks
Create a folder 'reports' and inside save a file called info.txt with the content: MCP working correctly
Write in workspace/week1.txt the following: Monday - study, Tuesday - rest, Wednesday - lab

*read_file--读取现有文件*

Read the file resumen.txt
Show me the content of tareas.txt
Open and read the file called info.txt in the reports folder
I want to see what I wrote in week1.txt
Can you read the file notes/monday.txt?

如何知道是否正在使用文件系统服务器?

当您使用其中一个命令时,您的控制台应显示:

🔧 Executing 'read_file' with: {'path': 'workspace/resumen.txt'}
📁 Using filesystem STDIO server (Filesystem MCP)
📬 Response:
{
  "output": {
    "content": "OSI model layers and their functions"
  }
}

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文件夹和文件结构

mcp-schedulizer-server-P1-Redes/
├── docs/                            # General and technical documentation
│   ├── screenshots/                 # Screenshots used in reports
│   │   ├── README_LLM_ES.md        # Write-up about LLM integration
│   │   ├── README_LLM_ES copy.md   # Duplicate/backup version
│   │   └── README.md               # General screenshot instructions
│   ├── captura wireshark 1.png     # Chatbot-server communication capture
│   ├── captura_wireshark_mcp_local.png
│   ├── captura_wireshark_server_remoto.png
│   ├── INFORME.docx                # Formal project report (editable)
│   ├── INFORME.pdf                 # Report in PDF format
│   └── prueba2.pcap                # Network capture file (Wireshark)
│
├── src/                            # Main MCP server source code
│   ├── tools/                      # Tool definitions
│   │   ├── add_task.tool.json
│   │   ├── definition.json
│   │   ├── generate_schedule.tool.json
│   │   ├── get_calendar.tool.json
│   │   ├── list_tasks.tool.json
│   │   └── remove_task.tool.json
│   ├── mcp_schedulizer.py          # Local MCP server that organizes tasks
│   ├── cliente_chatbot_fs_rr.py    # Client interacting with Claude and servers (FS + Remote)
│   └── mcp_log.txt                 # Execution log
│
├── workspace/                      # Local workspace (simulated user storage)
│   ├── university/                 # Example subfolder
│   └── agenda.txt                  # File generated with schedule
│
├── venv_mcp/                       # Python virtual environment
│   └── ... (internal files) ...
│
├── .env                            # Local config environment variables
├── .gitignore                      # Git ignored files
├── env.example                     # `.env` template
├── mcp_log.txt                     # Duplicate log outside `src`
├── README_LLM_EN.md                # English LLM integration guide
├── README_mcp_oficial_servers.md   # Instructions to run official MCP servers (FS, Git, etc.)
├── README.md                       # Main project instructions
├── README(1).md                    # Duplicate/backup README
├── requirements.txt                # Project dependencies

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✅ 先决条件

  • Python 3.12+
  • 图书馆: anthropic, requests, flask
  • 有效的Anthropic API密钥
  • MCP服务器正在运行 http://localhost:5000
pip install flask
pip install requests
pip install rich
pip install anthropic

pip install anthropic python-dotenv requests mcp
pip install flask anthropic python-dotenv requests mcp

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📌 备注

  • 此代理 不使用菜单,它充当一个自然的会话法学硕士。
  • Claude必须使用完全有效的JSON进行响应,因此为 json ... 模型的响应。

目录标签

目录标签

教育工具PythonClaude任务管理本地部署日程生成LLM集成时间优化

支持客户端

Claude

接入字段

传输方式(transport,传输协议)

stdio

鉴权方式(authType,认证方式)

session

工具数量(toolCount,工具数)

6

资源数量(resourceCount,资源数)

0

提示词数量(promptCount,提示词数)

0

权限和风险

stdiosession部署方式未说明

接入前请确认传输方式、认证方式和部署位置,并根据实际工具能力限制访问范围。

安装前确认

不要直接授予不必要的文件、网络或账号权限;先核对安装命令和配置内容。

来源信息

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