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Simple Model Context Protocol Mcp

@myonathanlinkedinon a year ago
1 MIT
FreeCommunity
AI Systems
This is a minimal demonstration project for the Model Context Protocol (MCP) — a simple standard for exchanging model context between clients and servers. It is designed to be easy to understand, lightweight, and practical for integration with OpenAI-compatible clients.

Overview

What is Simple Model Context Protocol Mcp

The Simple-Model-Context-Protocol-MCP is a minimal demonstration project for the Model Context Protocol (MCP), which is a standard for exchanging model context between clients and servers. It aims to facilitate seamless integration of large language models (LLMs) with external tools and data sources.

Use cases

Use cases include developing applications that need to manage context-aware interactions, such as collaborative tools, chatbots with dynamic context, and AI systems that integrate with external data sources.

How to use

To use Simple-Model-Context-Protocol-MCP, set up the MCPServer to handle client requests and the MCPClient to simulate client interactions. The server supports CRUD operations on notes stored in an SQLite database and can generate random seeds for echoing back to clients.

Key features

Key features include client-server communication using MCP, CRUD operations for managing notes, random seed generation, and SQLite database integration using Entity Framework Core.

Where to use

Simple-Model-Context-Protocol-MCP can be used in various fields such as AI-powered IDEs, custom AI workflows, and chat interfaces that require real-time context updates.

Content

Simple Model Context Protocol MCP

This project is a simple demonstration of the Model Context Protocol (MCP), designed to facilitate seamless integration between clients and servers. It provides a standardized way for large language models (LLMs) to interact with external tools and data sources. This project showcases the use of MCP for client-server communication, CRUD operations, and integrating model context in applications.

What is the Model Context Protocol (MCP)?

The Model Context Protocol (MCP) is an open protocol that enables easy integration of external tools and data sources with large language models (LLMs). It provides a common standard for exchanging model context, making it easier to build context-aware AI applications, such as:

  • AI-powered IDEs
  • Custom AI workflows
  • Chat interfaces with real-time context updating

MCP ensures that LLMs have access to the context they need by connecting them with external data and tools.

Features

This project demonstrates the following capabilities:

  • Client-Server Communication: Uses MCP to facilitate communication between the client and server.
  • CRUD Operations: Allows creating, reading, updating, and deleting notes stored in an SQLite database.
  • Random Seed Generation and Echo: Includes a tool for generating a random seed and echoing it back along with the input message.
  • SQLite Database Integration: Demonstrates how to interact with an SQLite database using Entity Framework Core (EF Core) for storing and retrieving notes.

Project Structure

  • MCPServer: Contains the server-side implementation, including CRUD operations on notes and the echo tool.
  • MCPClient: Simulates a client that communicates with the server using the MCP protocol.
  • ModelContextProtocol: The core protocol library that defines the standards for model context exchange.

Technologies Used

  • C# (.NET Core 9.0)
  • SQLite: A lightweight database used for storing notes.
  • Entity Framework Core: ORM used for data access and manipulation.
  • MCP Protocol: Standard protocol for client-server communication in AI-powered applications.

Certified MCP Review: https://mcpreview.com/mcp-servers/myonathanlinkedin/Simple-Model-Context-Protocol-MCP-

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