MCP RAG Server

# Machine Conversation Protocol (MCP) The Machine Conversation Protocol (MCP) is a standardized protocol for AI agents to communicate with tools and APIs. It provides a structured way for AI systems to request information, perform actions, and receive responses. ## Key Components ### Actions MCP uses actions as the primary mechanism for interaction. Each action has: - A unique identifier - An action type - A payload with parameters - Optional metadata ### Responses Responses in MCP follow a standardized format: - Status field (success, error, pending) - Data payload - Error information (when applicable) - Metadata for additional context ## Benefits of MCP - **Standardization**: Consistent interfaces across different tools - **Extensibility**: Easy to add new capabilities - **Interoperability**: Allows different AI systems to work together - **Structured Reasoning**: Enables step-by-step reasoning processes - **Verifiability**: Actions and responses can be logged and verified ## Use Cases MCP is particularly useful for: 1. Retrieval-Augmented Generation (RAG) systems 2. Multi-agent architectures 3. AI systems that need to access external tools 4. Complex workflows requiring multiple steps 5. Systems requiring auditable AI actions ## Implementation Considerations When implementing MCP, consider: - Security and authentication - Rate limiting - Error handling - Logging and monitoring - Versioning strategy