Note Taking Application

Description

This is a simple note-taking application built with FastAPI for the backend, PostgreSQL for persistent storage, and Redis for caching. The frontend is implemented using HTML, CSS, and JavaScript. The backend also supports Model Context Protocol (MCP) for LLM and tool integration.

Features

• View, add, edit, and delete notes.
• Persistent storage using PostgreSQL.
• Caching with Redis for faster data retrieval.
• MCP server for LLM and tool integration (via fastapi_mcp).

Prerequisites

Make sure you have the following installed on your system:

• Python 3.10 or higher
• PostgreSQL
• Redis

Installation

1. Clone the repository:

   git clone <repository-url>
   cd note_taking_app2

2. Create a virtual environment and activate it:

   python3 -m venv venv
   source venv/bin/activate

3. Install the dependencies:

   pip install -r requirements.txt

4. Set up the .env file: Create a .env file in the root directory with the following content:

   DATABASE="your_database_name"
   USER="your_database_user"
   PASS="your_database_password"
   HOST="127.0.0.1"

5. Set up the PostgreSQL database:

   • Create a database named your_database_name.
   • Run the necessary SQL commands to create the notetaker table.

6. Start the Redis server:

   redis-server

Running the Application

1. Start the FastAPI server:

   uvicorn app:app --reload

2. Open your browser and navigate to:

   http://127.0.0.1:8000
   

3. Access the API documentation at:

   http://127.0.0.1:8000/docs
   

4. (Optional) Use MCP tools:

   • Ensure you have the VS Code MCP extension installed.
   • The MCP server will be available at http://127.0.0.1:8000/mcp.
   • You can interact with your app using LLMs and tool calls.

Project Structure

• app.py: Backend logic for FastAPI and MCP integration.
• static/: Contains frontend files (index.html, styles.css, script.js, icon.png).
• README.md: Project documentation.
• .env: Environment variables for database configuration.
• requirements.txt: Python dependencies.

License

This project is licensed under the MIT License.