my-llm-chat-app

# MyChatApp A powerful Windows Forms application that enables chat interactions with multiple Large Language Model (LLM) providers and integrates with Model Context Protocol (MCP) servers, similar to Claude Desktop's functionality. ## Features - **Multi-Provider Support**: Connect to various LLM providers including: - OpenAI and OpenAI-compatible APIs - Ollama (local models) - X.ai (Grok models) - Any OpenAI api compatible model - **MCP Server Integration**: Leverage Model Context Protocol servers to extend AI capabilities with external tools and data sources. Only Stdio tranport is supported. - **Function Calling**: Full support for tool/function calling with automatic tool discovery and execution - **Configurable Settings**: Easy JSON-based configuration for providers and MCP servers (Claude desktop mcp configuration works) - **Modern UI**: Clean Windows Forms interface built on .NET 9.0 ## Version - 1.0.0 - Initial release with core features - 1.1.0 - Added support for multiple LLM providers, MCP server integration, and function calling - 1.2.0 - Chat history management - 1.3.0 - Added function invocation filter and logging ## Prerequisites - Windows OS - .NET 9.0 Runtime - Visual Studio 2022 or later (for development) ## Installation 1. Clone the repository: ```powershell git clone <repository-url> cd MyChatApp ``` 2. Build the solution: ```powershell dotnet build ``` 3. Configure your settings (see Configuration section below) 4. Run the application: ```powershell dotnet run --project MyChatApp ``` ## Configuration ### LLM Providers Configure your LLM providers in `appSettings.json`: ```json { "McpConfigFilePath": "E:\\ws\\claude-desktop\\mcp.json", "LLMProviders": [ { "Name": "OpenAI-GPT-4", "Type": "OpenAI", "Model": "gpt-4", "BaseUrl": "https://api.openai.com/v1", "ApiKey": "your-api-key-here" }, { "Name": "Local-Ollama", "Type": "Ollama", "Model": "llama2:latest", "BaseUrl": "http://localhost:11434", "ApiKey": "" } ] } ``` ### MCP Servers Configure MCP servers in your `mcp.json` file: ```json { "McpServers": { "filesystem": { "Command": "npx", "Args": ["-y", "@modelcontextprotocol/server-filesystem", "/path/to/directory"], "Env": {} }, "git": { "Command": "uvx", "Args": ["mcp-server-git", "--repository", "/path/to/repo"], "Env": {} } } } ``` ## Project Structure ``` MyChatApp/ ├── Program.cs # Application entry point ├── ChatForm.cs # Main UI form ├── AIChatProviders.cs # LLM provider management ├── ToolRepository.cs # MCP server and tool management ├── MyChatAppSettings.cs # Configuration models ├── appSettings.json # LLM provider configuration └── mcp.json # MCP server configuration ``` ## Key Components ### AIChatProviders Manages multiple LLM providers using Microsoft Semantic Kernel framework. Supports: - Dynamic provider loading - Function calling with auto-discovery - Provider-specific prompt execution settings ### ToolRepository Handles MCP server lifecycle and tool management: - Loads MCP server configurations - Establishes stdio transport connections - Discovers and exposes available tools - Manages tool execution contexts ### ChatForm Main Windows Forms interface providing: - Provider selection - Chat history management - Tool toggle functionality - Real-time status updates ## Dependencies - **Microsoft.SemanticKernel**: Core AI orchestration framework - **ModelContextProtocol**: MCP client implementation - **Markdig**: Markdown processing for chat rendering - **Microsoft.Extensions.Configuration**: Configuration management - **Microsoft.Web.WebView2**: Enhanced web content rendering ## Usage 1. **Launch the application** and select your preferred LLM provider from the dropdown 2. **Enable/disable tools** using the tools toggle to control MCP server integration 3. **Start chatting** with your chosen AI model 4. **Leverage MCP tools** for enhanced capabilities like file system access, git operations, or custom integrations ## Development ### Building from Source ```powershell # Clone and build git clone <repository-url> cd MyChatApp dotnet restore dotnet build # Run in development mode dotnet run --project MyChatApp ``` ### Adding New Providers 1. Add provider configuration to `appSettings.json` 2. Update `AIChatProviders.cs` to handle the new provider type 3. Implement provider-specific settings if needed ### Adding MCP Servers 1. Install the MCP server (npm, pip, etc.) 2. Add server configuration to `mcp.json` 3. Restart the application to load the new server ## Acknowledgments - Built with Microsoft Semantic Kernel - Leverages Model Context Protocol for extensibility - Inspired by Claude Desktop's MCP integration