Ai Sticky Notes MCP Project

🚀 AI Sticky Notes – MCP Project

This is a simple yet powerful application that leverages the MCP (Model Context Protocol) to build an AI-driven sticky note system. It combines FastMCP, the mcp[cli] interface, and integrates with Claude Desktop.

🚀 Quick Start

This application is a powerful AI-driven sticky note system built on the MCP protocol. It integrates multiple technologies and provides a range of useful features for note management.

✨ Features

• Add new notes
• View all existing notes
• Delete all notes
• Get the latest note
• Generate a prompt to summarize all notes

🧰 Technologies Used

• Python
• FastMCP
• uv for environment management
• Claude Desktop for tool, resource, and prompt execution

📦 Installation

1. Create and Initialize the MCP Environment

uv install
uv init project-folder-name
cd project-folder-name
uv add "mcp[cli]"

2. Install and Use Claude Desktop

• Download and install Claude Desktop.
• Run and interact with the defined tools, resources, and prompts.

💻 Usage Examples

main.py

This file contains all the tools and logic for managing notes, based on the MCP framework.

Basic Usage

The following are the basic functions provided by the application:

Add a Note

def add_note(message: str) -> str:
    """
    Append a new note to the 'notes.txt' file.
    """
    pass

Read Notes

def read_notes() -> str:
    """
    Return all saved notes. If no notes exist, return a default message.
    """
    pass

Remove Notes

def remove_notes() -> str:
    """
    Clear all notes from the 'notes.txt' file.
    """
    pass

Advanced Usage

Get the Latest Note

def get_latest_note() -> str:
    """
    Return the most recently added note.
    """
    pass

Generate a Note Summary Prompt

def note_summary_prompt() -> str:
    """
    Generate a prompt asking the AI to summarize all current notes.
    """
    pass

📁 File Overview

main.py

This file contains all the tools and logic for managing notes, based on the MCP framework.

🔧 Technical Details

Tools

• add_note(message: str) -> str: Append a new note to the notes.txt file.
• read_notes() -> str: Return all saved notes. If no notes exist, return a default message.
• remove_notes() -> str: Clear all notes from the notes.txt file.

Resources

• get_latest_note() -> str: Return the most recently added note.

Prompts

• note_summary_prompt() -> str: Generate a prompt asking the AI to summarize all current notes.

📄 License

All notes are stored in the local notes.txt file. If the file does not exist, it will be created automatically.