AI Sticky Notes

by SamraAzizi

23 downloads
Not rated
GitHub

Description

# AI Sticky Notes AI Sticky Notes is a lightweight, AI-powered note-taking application built using the MCP framework. It allows you to add, read, and summarize notes through a simple interface, making it ideal for quick thoughts, to-do lists, or daily journaling. ## ✨ Features -…

About

# AI Sticky Notes AI Sticky Notes is a lightweight, AI-powered note-taking application built using the MCP framework. It allows you to add, read, and summarize notes through a simple interface, making it ideal for quick thoughts, to-do lists, or daily journaling. ## ✨ Features - **Add Notes**: Append new notes to a…

Details

Author
SamraAzizi
Downloads
23
Categories
Knowledge Base, Other, Developer Tools

- Add new notes to a persistent file.
- Read all saved notes.
- Access the most recently added note.
- Summarize all current notes using AI.

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name AI Sticky Notes
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

Install dependencies with pip install -r requirements.txt (or uv) and run python main.py. Use the MCP tool add_note to append a note, read_notes to retrieve all notes, the resource notes://latest for the most recent note, and the prompt note_summary_prompt to generate an AI summary via Claude.

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "ai sticky notes": {
            "custom_MCP_server": {
                "command": "uv",
                "args": [
                    "pip",
                    "install",
                    "-r",
                    "requirements.txt"
                ]
            }
        }
    }
}

McpServers

{
    "custom_MCP_server": {
        "command": "uv",
        "args": [
            "pip",
            "install",
            "-r",
            "requirements.txt"
        ]
    }
}

AI Sticky Notes

AI Sticky Notes is a lightweight, AI-powered note-taking application built using the MCP framework. It allows you to add, read, and summarize notes through a simple interface, making it ideal for quick thoughts, to-do lists, or daily journaling.

✨ Features

- Add Notes: Append new notes to a persistent file. - Read Notes: Retrieve all saved notes. - Latest Note: Access the most recently added note. - Summarize Notes: Generate a summary of all current notes using AI.

🚀 Getting Started

Prerequisites

- Python 3.8 or higher - MCP framework - Claude AI model integration - uv package manager (optional but recommended)

Installation

Clone the Repository

``bash git clone https://github.com/yourusername/AI-Sticky-Notes.git cd AI-Sticky-Notes ` Install Dependencies Using uv: `bash uv pip install -r requirements.txt ` or using pip: `bash pip install -r requirements.txt ` Run the Application `bash python main.py `

Usage

The application provides several tools and resources:

Add a Note

adds a new note to notes.txt.
`bash @mcp.tool() def add_note(message: str) -> str: ... `

Reads All Notes

Retrivers all saved notes.
`bash @mcp.tool() def read_notes() -> str: ... `

Get Latest Note

fetches the most recently added note
`bash @mcp.resource("notes://latest") def get_latest_note() -> str: ... `

Summarize Notes

Generates a summary of all current notes using AI
`bash @mcp.prompt() def note_summary_prompt() -> str: ... ``

AI Integration

The application integrates with the Claude AI model to provide intelligent summaries of your notes. Ensure that your environment is configured correctly to interact with Claude.
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