MCPServerApp

ewdlop/MCPServerApp

3.2

If you are the rightful owner of MCPServerApp and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

A comprehensive Model Context Protocol (MCP) server application built with .NET 9, featuring 50+ AI-powered tools for text processing, creative writing, analysis, and business applications.

Tools
  1. AnalyzeSentiment

    Analyzes emotional sentiment of text

  2. GeneratePoem

    Creates poetry in various styles

  3. GenerateSlogan

    Creates catchy slogans and taglines

  4. ExplainConcept

    Provides explanations tailored to different audience levels

  5. GenerateRhyme

    Finds words that rhyme with given input

MCPServerApp

A comprehensive Model Context Protocol (MCP) server application built with .NET 9, featuring 50+ AI-powered tools for text processing, creative writing, analysis, and business applications.

๐Ÿš€ Features

  • 50+ AI-Powered Tools: Extensive collection of tools utilizing IChatClient for various tasks
  • Text Analysis: Sentiment analysis, bias detection, readability assessment, and writing improvement
  • Creative Writing: Story generation, poetry creation, character development, and dialogue simulation
  • Business Tools: Email subject generation, testimonials, slogans, and product naming
  • Educational: Concept explanations, tutorial outlines, debate points, and memory devices
  • Language Processing: Translation, rhyme generation, word associations, and alternative suggestions
  • Communication: Conversation starters, icebreakers, and interview questions

๐Ÿ› ๏ธ Technology Stack

  • .NET 9: Latest .NET framework
  • Model Context Protocol (MCP): Communication protocol for AI tools
  • Microsoft.Extensions.AI: AI abstractions and chat client support
  • Docker: Containerization support
  • C#: Primary programming language

๐Ÿ“‹ Prerequisites

  • .NET 9 SDK
  • Docker (optional, for containerized deployment)
  • An AI service provider (for IChatClient functionality)

๐Ÿƒโ€โ™‚๏ธ Quick Start

1. Clone and Build

git clone <repository-url>
cd MCPServerApp
dotnet build

2. Run the Application

dotnet run

3. Docker Deployment (Optional)

docker build -t mcpserverapp .
docker run -p 8080:8080 mcpserverapp

๐Ÿ”ง Configuration

The application uses standard .NET configuration patterns. You can configure:

  • AI service endpoints
  • Logging levels
  • Server settings

Configuration can be provided through:

  • appsettings.json
  • Environment variables
  • Command line arguments
  • User secrets (for development)

๐Ÿ“š Available Tools

Text Analysis & Processing

  • AnalyzeSentiment: Analyzes emotional sentiment of text
  • AnalyzeWritingTone: Evaluates tone and style of written content
  • AnalyzeReadability: Assesses text readability and suggests improvements
  • AnalyzeBiasInText: Identifies potential bias and loaded language
  • AnalyzeEmotionalTone: Analyzes emotional undertones and mood
  • AnalyzeArgumentStructure: Examines logical structure of arguments
  • ImproveWriting: Provides writing enhancement suggestions
  • TranslateText: Translates text between languages

Creative Writing & Content

  • GeneratePoem: Creates poetry in various styles (haiku, sonnet, free verse, limerick)
  • GenerateStory: Generates short stories with specified parameters
  • CreateCharacterProfile: Develops detailed character profiles for creative writing
  • SimulateDialogue: Creates realistic conversations between characters
  • GenerateJoke: Creates humor in different styles (pun, one-liner, knock-knock, dad-joke)
  • GenerateMotivationalQuote: Creates inspirational quotes
  • GenerateCreativePrompts: Provides creative inspiration for various mediums
  • CreateMetaphors: Generates metaphors and analogies for concepts

Business & Professional

  • GenerateSlogan: Creates catchy slogans and taglines
  • GenerateProductNames: Develops creative product and service names
  • GenerateEmailSubjects: Creates compelling email subject lines
  • GenerateTestimonials: Produces realistic customer testimonials
  • CreateUserPersonas: Develops detailed user personas for design and marketing
  • GenerateHashtags: Creates relevant social media hashtags

Educational & Explanatory

  • ExplainConcept: Provides explanations tailored to different audience levels
  • GenerateQuestions: Creates thought-provoking questions for various contexts
  • CreateTutorialOutline: Generates structured learning outlines
  • GenerateDebatePoints: Develops arguments for debate topics
  • CreateMemoryDevice: Creates mnemonic devices and memory aids
  • CreateAnalogyChain: Builds progressive analogy chains for complex concepts

Language & Communication

  • GenerateRhyme: Finds words that rhyme with given input
  • CreateWordAssociations: Generates semantic word connections
  • GenerateAlternatives: Provides alternative words, phrases, or approaches
  • CreateConversationStarters: Generates conversation starters for various contexts
  • GenerateIcebreakers: Creates group icebreaker activities
  • CreateAcronym: Creates memorable acronyms or expands existing ones

Utility & Helper Tools

  • Echo: Basic message echoing functionality
  • ReverseEcho: Returns reversed text
  • Yell: Converts text to uppercase
  • WordCount: Counts words in text
  • CharCount: Counts characters (excluding spaces)
  • VowelCount: Counts vowels in text
  • Repeat: Repeats message multiple times
  • IsPalindrome: Checks if text is a palindrome
  • TitleCase: Converts text to title case
  • ExtractDigits: Extracts numerical digits from text
  • LongestWord: Finds the longest word in text
  • Replace: Replaces substrings within text
  • ToLowerCase: Converts to lowercase
  • ToUpperCase: Converts to uppercase
  • Trim: Removes leading/trailing whitespace
  • Contains: Checks for substring presence
  • SplitIntoWords: Splits text into word arrays
  • JoinWords: Joins word arrays into strings
  • SummarizeContentFromUrl: Downloads and summarizes web content

Data & Domain-Specific

  • GetMonkey: Retrieves monkey information by name
  • GetMonkeys: Lists available monkeys

๐ŸŽฏ Tool Categories Overview

CategoryTool CountPrimary Use Cases
Text Analysis8Content evaluation, improvement suggestions, bias detection
Creative Writing12Story creation, poetry, character development, humor
Business Tools6Marketing copy, branding, customer content
Educational6Learning materials, explanations, memory aids
Language Processing8Translation, word play, semantic analysis
Communication6Social interaction, professional networking
Utility Functions18Text manipulation, basic processing
Domain-Specific2Specialized data retrieval

๐Ÿ” Tool Usage Examples

Sentiment Analysis

var result = await AnalyzeSentiment(server, "I absolutely love this new feature!", cancellationToken);
// Returns: Sentiment Analysis: Positive (95% confidence) - Expresses strong enthusiasm...

Creative Writing

var poem = await GeneratePoem(server, "autumn leaves", "haiku", cancellationToken);
// Returns: HAIKU - autumn leaves: Golden leaves falling...

Business Content

var slogans = await GenerateSlogan(server, "eco-friendly water bottles", "inspirational", 3, cancellationToken);
// Returns: INSPIRATIONAL Slogans for eco-friendly water bottles: ...

๐Ÿ—๏ธ Architecture

Project Structure

MCPServerApp/
โ”œโ”€โ”€ Tools/
โ”‚   โ”œโ”€โ”€ EchoTool.cs          # Main tool collection (50+ tools)
โ”‚   โ””โ”€โ”€ MonkeyTools.cs       # Domain-specific tools
โ”œโ”€โ”€ Models/
โ”‚   โ””โ”€โ”€ Monkey.cs            # Data models
โ”œโ”€โ”€ Services/
โ”‚   โ””โ”€โ”€ MonkeyService.cs     # Business logic services
โ”œโ”€โ”€ Contexts/
โ”‚   โ””โ”€โ”€ MonkeyContext.cs     # Data context
โ””โ”€โ”€ Program.cs               # Application entry point

Key Components

  • McpServerTool Attributes: Mark methods as available MCP tools
  • IChatClient Integration: Leverage AI capabilities for text processing
  • Dependency Injection: Utilize .NET DI container for service management
  • Configuration System: Support multiple configuration sources

๐Ÿงช Development

Adding New Tools

  1. Create a new static method in the appropriate tool class
  2. Add the [McpServerTool] attribute with name and description
  3. Include parameter descriptions using [Description] attributes
  4. Implement the tool logic using IChatClient when appropriate

Example:

[McpServerTool(Name = "MyNewTool"), Description("Description of what the tool does")]
public static async Task<string> MyNewTool(
    IMcpServer thisServer,
    [Description("Input parameter description")] string input,
    CancellationToken cancellationToken = default)
{
    // Tool implementation
    ChatMessage[] messages = [
        new(ChatRole.System, "System prompt for the AI"),
        new(ChatRole.User, $"User prompt with {input}")
    ];
    
    ChatOptions options = new()
    {
        MaxOutputTokens = 200,
        Temperature = 0.5f,
    };
    
    var response = await thisServer.AsSamplingChatClient().GetResponseAsync(messages, options, cancellationToken);
    return $"Result: {response}";
}

Testing

# Run tests
dotnet test

# Build and run
dotnet build
dotnet run

๐Ÿ“„ License

This project is licensed under the terms specified in LICENSE.txt.

๐Ÿค Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Make your changes
  4. Add tests if applicable
  5. Submit a pull request

๐Ÿ“ž Support

For questions, issues, or contributions, please refer to the project's issue tracker or documentation.


Built with โค๏ธ using .NET 9 and the Model Context Protocol