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Hello MCP Server
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Hello MCP Server

A simple implementation of the Model Context Protocol (MCP) server, demonstrating basic functions such as resource handling, prompt management, and tool execution, including TypeScript support and built - in testing.
Developer toolsArtificial intelligence chatbots#Protocol Server#Resource Handling#Prompt Management#Tool Integration.TypeScript
2 points
7.0K
Open Site

Overview

Content Details

Alternatives

What is MCP Server?

MCP Server is a lightweight server based on the Model Context Protocol, designed to help developers quickly build and manage resources, prompts, and tools related to AI models. It provides standardized interfaces to handle various AI model interaction scenarios.

How to use MCP Server?

After simple installation and configuration, you can start the server via the command line and then use API calls to manage resources, generate prompts, or execute tools. The server has built - in testing functions for easy verification of various functions.

Applicable Scenarios

Suitable for scenarios that require centralized management of AI model interaction components, such as: developing AI application prototypes, building prompt libraries, creating reusable model tools, etc.

Main Features

Resource Handling
Supports managing various AI model resources through templates for easy reuse and sharing
Prompt Management
Provides standardized prompt generation and management functions
Tool Execution
Supports defining and executing various AI model - related tools
TypeScript Support
Developed with TypeScript, providing good type checking and development experience
Built - in Testing
Includes a complete test suite to ensure functional stability
Advantages
Lightweight and easy to deploy
Provides standardized model interaction interfaces
Supports resource templating to improve reusability
Built - in testing ensures stability
Comprehensive TypeScript type support
Limitations
Currently, the functions are relatively basic and suitable for small - scale projects
Lacks an advanced user interface and is mainly targeted at developers
There is room for performance optimization and it is not suitable for high - concurrency scenarios

How to Use

Installation
Ensure that the Node.js environment is installed, then run the installation command
Build
Compile TypeScript code into JavaScript
Start the Server
Run the start command, which listens on port 3000 by default
Testing
Run the test script to verify the functions

Usage Examples

Manage Prompt Templates
Create and manage prompt templates for different AI models
Execute Data Processing Tools
Use built - in tools to process input data
Test Resource Validity
Verify whether the resource templates are correctly loaded

Frequently Asked Questions

What running environment does MCP Server require?
How to add custom resources?
Can multiple MCP Server instances run simultaneously?
How to extend the server functions?

Related Resources

GitHub Repository
Project source code and the latest version
Model Context Protocol Documentation
Official documentation of the MCP protocol
Node.js Official Website
Download and documentation for the Node.js running environment

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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