MCP Demo: Model Context Protocol Integration With Openai
M

MCP Demo: Model Context Protocol Integration With Openai

2 points
3.7K

What is an MCP server?

An MCP server is a standardized interface that allows large language models (LLMs) to securely access various tools and data sources. It acts as an intermediate layer, enabling AI to perform specific functions without direct access to the system.

How to use an MCP server?

Interact with the AI through a simple conversation interface, and the AI will automatically recognize when to use MCP tools. You don't need to call the tools directly; just express your needs in natural language.

Use cases

Suitable for scenarios where AI capabilities need to be extended beyond basic conversations, such as data calculation, information query, system integration, etc.

Main Features

Echo Test
Returns the user's input message as it is, used for testing the connection and verifying basic functions
Addition Calculation
Provides an addition operation service for two numbers and returns the accurate calculation result
Time Query
Returns the current date and time information of the server
Advantages
Standardized interface: Unifies the usage methods of various tools
Secure isolation: LLMs do not directly access system resources
Easy to expand: New tools can be quickly added without affecting existing functions
Natural language interaction: Users don't need to learn specific command syntax
Limitations
Depends on the OpenAI API: Requires a valid API key
Limited functionality: The current demonstration version only includes basic tools
Latency issue: Tool calls will increase the response time

How to Use

Installation Preparation
Ensure that the .NET 9.0 SDK is installed and obtain an OpenAI API key
Clone and Build the Project
Clone the project from GitHub and build the solution
Set the API Key
Configure your OpenAI API key as a user secret
Run the Application
Start the LLM integration application, which will automatically start the MCP server

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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