MCPServerApp

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.

🚀 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

🛠️ 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

📋 Prerequisites

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

🏃‍♂️ 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

🔧 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)

📚 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

🎯 Tool Categories Overview

Category	Tool Count	Primary Use Cases
Text Analysis	8	Content evaluation, improvement suggestions, bias detection
Creative Writing	12	Story creation, poetry, character development, humor
Business Tools	6	Marketing copy, branding, customer content
Educational	6	Learning materials, explanations, memory aids
Language Processing	8	Translation, word play, semantic analysis
Communication	6	Social interaction, professional networking
Utility Functions	18	Text manipulation, basic processing
Domain-Specific	2	Specialized data retrieval

🔍 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: ...

🏗️ Architecture

Project Structure

MCPServerApp/
├── Tools/
│   ├── EchoTool.cs          # Main tool collection (50+ tools)
│   └── MonkeyTools.cs       # Domain-specific tools
├── Models/
│   └── Monkey.cs            # Data models
├── Services/
│   └── MonkeyService.cs     # Business logic services
├── Contexts/
│   └── MonkeyContext.cs     # Data context
└── 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

🧪 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

📄 License

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

🤝 Contributing

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

📞 Support

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

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Built with ❤️ using .NET 9 and the Model Context Protocol