A custom server project built using the Model Context Protocol (MCP) in Python. This repository documents my learning, experiments, and development progress.
Overview
What is Model Context Protocol?
Model Context Protocol (MCP) is a custom server project built in Python that implements an AI Sticky Notes application, showcasing the core functionalities of the MCP framework.
How to use Model Context Protocol?
To use the MCP server, clone the repository and run the server using the command python main.py. You can then interact with the API to manage notes.
Key features of Model Context Protocol?
- Adding new notes to persistent storage
- Retrieving all stored notes
- Accessing the most recent note
- Generating AI summaries of notes
Use cases of Model Context Protocol?
- Developers can extend functionality by adding new tools and resources.
- Users can manage their notes and get AI-generated summaries.
- It serves as a reference for structuring MCP applications.
FAQ from Model Context Protocol?
- Can I add new features to the MCP server?
Yes! The server is designed to be extensible, allowing you to add new tools and resources.
- How do I run the server?
Simply clone the repository and execute
python main.pyto start the server.
- Is there a way to categorize notes?
Future enhancements may include note categorization and tagging.