model-context-protocol

model-context-protocol

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A simple AI Sticky Notes application developed using the Model Context Protocol, featuring note management and AI-generated summaries. It serves as both a functional tool for users and a reference model for developers interested in MCP applications.

model-context-protocol

A custom server project built using the Model Context Protocol (MCP) in Python. This repository implements a simple AI Sticky Notes application that demonstrates the core functionality of MCP.

What We've Built

This project implements a simple but functional MCP server that acts as an AI Sticky Notes application with the following features:

  • Adding Notes: Users can add new notes to a persistent storage file
  • Reading Notes: Users can retrieve all stored notes
  • Accessing Latest Note: A resource endpoint to get only the most recent note
  • Note Summarization: A prompt generator that asks an AI to summarize all current notes

Core Components

  1. FastMCP Server: The main server implementation using the MCP framework
  2. Tools: Function endpoints that perform specific actions
    • add_note: Adds a new note to storage
    • read_notes: Retrieves all stored notes
  3. Resources: Data endpoints that provide specific information
    • notes://latest: Provides the most recently added note
  4. Prompts: Template generators for AI interactions
    • note_summary_prompt: Creates a prompt asking an AI to summarize all notes

What You Can Do With This Server

For Developers

  • Extend Functionality: Add new tools, resources, or prompts to enhance the application
  • Integrate with AI Models: Connect this server to LLMs to create an intelligent note-taking application
  • Use as a Reference: Learn how to structure MCP applications for your own projects
  • Build a UI: Create a frontend that interacts with these endpoints

For Users

  • Manage Notes: Add and retrieve notes through the API
  • Get AI Summaries: Use the prompt endpoint to generate summaries of your notes
  • Access Latest Information: Quickly retrieve the most recent note

Getting Started

To run the server:

python main.py

The server will start and expose endpoints for adding notes, reading notes, accessing the latest note, and generating summary prompts.

Future Enhancements

Potential improvements for this project:

  • Add note deletion and editing capabilities
  • Implement note categorization and tagging
  • Create a web interface for easier interaction
  • Add authentication for multi-user support
  • Integrate with external AI services for automatic note analysis