Model Context Protocol (MCP)

Protocol for enabling language models to interact with external tools and services. Provides standardized communication between AI systems and data sources.

Key Features

• Standardized Protocol: Consistent interface for tools
• Tool Integration: Connect LLMs to external services
• Context Management: Maintain conversation context
• Extensibility: Easy to add new tools
• Type Safety: Structured inputs and outputs

My Experience

Implemented MCP for connecting LLMs with astronomical databases and analysis tools, enabling intelligent data retrieval and processing workflows.