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Simple Model Context Protocol MCP

This project demonstrates the application of the Model Context Protocol (MCP), enabling seamless integration between clients and servers, supporting CRUD operations and database interactions, and providing context - aware capabilities for AI applications.
2 points
15

What is the MCP Server?

The MCP Server is a backend service that implements the Model Context Protocol, allowing AI models to interact with external tools and databases. It acts as a bridge between your AI applications and the data they need to function effectively.

How to use the MCP Server?

You can connect your AI application to the MCP Server through API calls. The server handles requests for data operations and tool integrations, returning structured responses that your application can use to maintain context.

Use Cases

Ideal for building AI-powered IDEs, custom AI workflows, or chat interfaces that need real-time context updates from various data sources.

Key Features

Client - Server CommunicationStandardized protocol for seamless communication between AI applications and the server
CRUD OperationsCreate, Read, Update and Delete operations for managing notes in SQLite database
Random Seed GenerationTool for generating random seeds and echoing them back with input messages
SQLite IntegrationBuilt - in support for SQLite database using Entity Framework Core

Pros and Cons

Advantages
Standardized protocol makes integration easy
Lightweight and fast performance
Built - in database support reduces setup time
Flexible enough for various AI applications
Limitations
Currently only supports SQLite as database backend
Limited to.NET ecosystem for server implementation
New protocol with evolving standards

Getting Started

Set up the server
Install the MCP server on your machine or cloud environment
Connect your application
Configure your AI application to make requests to the MCP server endpoint
Start exchanging context
Begin sending and receiving model context through the standardized protocol

Usage Scenarios

AI Programming AssistantAn IDE plugin uses MCP to maintain context about the current programming task, accessing relevant documentation and examples from the database.
Knowledge ManagementA chatbot uses MCP to store and retrieve information from its knowledge base during conversations.

Frequently Asked Questions

What programming languages can I use with MCP?
Can I use databases other than SQLite?
Is MCP suitable for production use?

Additional Resources

MCP Protocol Specification
Detailed technical documentation of the protocol standards
Sample Client Implementations
Example clients in various programming languages
MCP Introduction Video
Video tutorial explaining MCP concepts
Installation
Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.
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