Model Context Protocol Demo

## 🚀 **Complete Enhanced MCP Client Features** ### **1. Dynamic Tool Registration System** - **Custom Tool Definition**: Structured tool creation with parameters, validation, and metadata - **Local Function Support**: Register Python functions as tools - **HTTP Endpoint Support**: Connect external APIs as tools - **Persistent Storage**: JSON-based registry with automatic loading/saving - **Tool Management UI**: Complete interface for adding, viewing, and removing tools ### **2. Advanced Batch Operations** - **Dependency Resolution**: Sequential execution with proper dependency chains - **Variable References**: Use `${variable_name}` to pass results between operations - **Parallel Execution**: Run independent operations simultaneously - **Error Handling**: Fail-fast or continue-on-error modes - **Mixed Tool Support**: Combine standard MCP tools with custom tools ### **3. Enhanced RAG System** - **Custom Tool Integration**: Includes custom tools in semantic search - **Rich Context Building**: Enhanced embeddings with examples and synonyms - **Dynamic Prompt Generation**: Adapts system prompts based on available tools - **Performance Optimization**: Uses sentence-transformers efficient search ### **4. Comprehensive UI Features** - **Tool Management Interface**: Add, view, search, and remove custom tools - **Batch Operation Examples**: Quick-start templates for complex workflows - **Enhanced Sidebar**: Real-time metrics, tool usage stats, performance tracking - **Rich Result Display**: Different styling for standard, custom, and batch operations - **Debug Information**: Detailed parsing analysis and RAG match visualization ### **5. Sample Custom Tools Included** - **Unit Converter**: Convert between different measurement units - **Text Analyzer**: Word count, character count, and text statistics - **Extensible Framework**: Easy template for adding more tools ## 🎯 **Key Usage Examples** ### **Single Operations:** ``` - "15 + 27" - "convert 5 feet to meters" - "analyze this text: Hello world" - "sine of 30 degrees" ``` ### **Batch Operations:** ``` - "Calculate 15 + 27, then find sine of that result" - "Convert 100 km to miles, then multiply by 1.5" - "Analyze text 'Hello world', then echo the word count" ``` ### **Custom Tool Examples:** ``` - "Convert 5.5 feet to centimeters" - "How many words in: The quick brown fox jumps" - "Text statistics for: Lorem ipsum dolor sit amet" ``` ## 🛠 **Installation & Setup** 1. **Install Dependencies:** ```bash pip install streamlit sentence-transformers scikit-learn fastmcp ``` 2. **Set Environment Variables:** ```bash export OPENAI_API_KEY="your_key" export ANTHROPIC_API_KEY="your_key" export GEMINI_API_KEY="your_key" ``` 3. **Run the Application:** ```bash streamlit run your_app.py ``` ## 🚀 **Advanced Features** - **Database Persistence**: SQLite storage for chat history with batch operation tracking - **Multi-LLM Support**: Google Gemini, OpenAI GPT, Anthropic Claude - **Caching**: Efficient server discovery with Streamlit caching - **Error Recovery**: Graceful fallbacks and comprehensive error handling - **Performance Metrics**: Real-time analytics and usage statistics - **Tool Discovery**: Automatic MCP server tool detection with RAG integration This complete implementation transforms your MCP demo into a powerful, extensible platform where users can: 1. **Register their own tools** through a user-friendly interface 2. **Chain multiple operations** together with dependency resolution 3. **Benefit from intelligent tool selection** via RAG-enhanced parsing 4. **Monitor performance** and usage patterns in real-time The application is production-ready with comprehensive error handling, logging, and a polished user interface. Users can immediately start using the sample tools and batch operations, then extend the system with their own custom tools!