ewdlop/MCPServerApp
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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.
AnalyzeSentiment
Analyzes emotional sentiment of text
GeneratePoem
Creates poetry in various styles
GenerateSlogan
Creates catchy slogans and taglines
ExplainConcept
Provides explanations tailored to different audience levels
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.
๐ 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
๐ ๏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
๐ Prerequisites
- .NET 9 SDK
- Docker (optional, for containerized deployment)
- An AI service provider (for IChatClient functionality)
๐โโ๏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
๐ง 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)
๐ 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
๐ฏ 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 |
๐ 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: ...
๐๏ธ Architecture
Project Structure
MCPServerApp/
โโโ Tools/
โ โโโ EchoTool.cs # Main tool collection (50+ tools)
โ โโโ MonkeyTools.cs # Domain-specific tools
โโโ Models/
โ โโโ Monkey.cs # Data models
โโโ Services/
โ โโโ MonkeyService.cs # Business logic services
โโโ Contexts/
โ โโโ MonkeyContext.cs # Data context
โโโ 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
๐งช Development
Adding New Tools
- Create a new static method in the appropriate tool class
- Add the
[McpServerTool]
attribute with name and description - Include parameter descriptions using
[Description]
attributes - 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
๐ License
This project is licensed under the terms specified in LICENSE.txt.
๐ค Contributing
- Fork the repository
- Create a feature branch
- Make your changes
- Add tests if applicable
- Submit a pull request
๐ Support
For questions, issues, or contributions, please refer to the project's issue tracker or documentation.
Built with โค๏ธ using .NET 9 and the Model Context Protocol