AI Sticky Notes
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
Jump to
- 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:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
AI Sticky NotesCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- 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.Sign in to leave a review
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