mcp-examples

# Model Context Protocol (MCP) Examples [](LICENSE) A comprehensive repository showcasing examples of implementing **Model Context Protocol (MCP)** features. This repository serves as a resource for developers to understand and build upon MCP implementations using Python. ## What is Model Context Protocol (MCP)? The Model Context Protocol is an open protocol that standardizes how applications provide context to Large Language Models (LLMs). It defines a consistent interface for tools, resources, and prompts, enabling seamless integration between LLMs and various data sources or capabilities. ## Repository Structure This repository is organized into several key sections: ### Patterns - **Composability** - Client-orchestrated workflows - Proxy server implementations - Server-to-server communication - **Orchestration** - Centralized orchestrators - Dynamic workflow orchestration - Event-driven orchestration ### Prompts - Conditional workflows - Dynamic arguments - Orchestrated pipelines - Slash commands - Including resources in prompts ### Resources - API integrations - Database connections - File system operations ### Tools - API integration patterns - Chunked processing - Data processing - Notification systems - Semantic search implementation - Stateful session management - System command patterns ### Sampling - Client implementations - Server implementations ## Getting Started To get started with the repository: 1. **Clone the repository**: ```bash git clone https://github.com/saipanyam/mcp-examples.git cd mcp-examples ``` 2. **Install dependencies**: ```bash pip install -r requirements.txt ``` 3. **Explore the examples**: Browse through the different directories to understand various MCP patterns and implementations. ## Key Features - **Modular Design**: Each example demonstrates a specific pattern or technique - **Practical Implementation**: Ready-to-use code patterns for real-world applications - **Comprehensive Coverage**: Covers a wide range of MCP features and capabilities - **Best Practices**: Demonstrates recommended approaches for MCP implementation ## Use Cases - Building multi-agent systems - Creating orchestrated workflows between specialized LLM services - Implementing stateful interactions with LLMs - Developing resource-aware applications - Creating prompt templates for consistent LLM interactions ## Contributing Contributions to improve examples or add new ones are welcome! Please feel free to submit a pull request. ## License This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.