📝 AI Sticky Notes

AI Sticky Notes is a lightweight tool built using the FastMCP framework that allows users to add, read, and summarize notes. It stores all notes in a local notes.txt file and provides an interactive interface via MCP tools and resources.

🚀 Features

• Add sticky notes with a simple message

• Read all saved notes at once

• Get the most recently added note

• Generate a summary prompt based on all current notes

Related MCP server: Anki MCP Server

📁 Project Structure

project_mcp/
│
├── main.py           # Entry point for the FastMCP server
├── notes.txt         # File used to persist sticky notes
└── README.md         # Project documentation

🛠️ Installation

Make sure you have Python 3.10+ installed.

1. Clone the repository

   git clone https://github.com/your-username/project_mcp.git
   cd project_mcp

2. Create and activate a virtual environment

   python -m venv .venv
   .venv\Scripts\activate  # Windows

3. Install dependencies using uv

   uv pip install fastmcp

📌 Usage

Run the server using uv:

uv run python main.py

This will start the FastMCP server with the name "AI Sticky Notes".

🧰 Available Tools & Resources

Tools

• add_note(message: str)
  Adds a new note to the file.

• read_notes()
  Reads and returns all stored notes.

Resources

• notes://latest
  Returns the most recently added note.

Prompts

• note_summary_prompt()
  Returns a prompt string asking an AI to summarize the current notes.

📄 Example

add_note("Buy groceries")
read_notes()  # → "Buy groceries"
get_latest_note()  # → "Buy groceries"
note_summary_prompt()  # → "Summarize the current notes: Buy groceries"

💡 Future Ideas

• Add timestamps to notes

• Tag notes by category

• Implement deletion or editing

• Build a simple web frontend using Streamlit or FastAPI

Made with 💬 and Python using FastMCP