Understand MCP (Model Context Protocol) with example
Modern AI systems are shifting from static chatbots to interactive, tool-augmented agents. The Model Context Protocol (MCP) is an open protocol designed to standardize how models discover and use external tools securely and dynamically. Developed collaboratively by OpenAI, Anthropic, Google, and others, MCP enables large language models (LLMs) to interact with real-world systems like databases, APIs, and files—while maintaining modularity and security.

Modern AI systems are shifting from static chatbots to interactive, tool-augmented agents. The Model Context Protocol (MCP) is an open protocol designed to standardize how models discover and use external tools securely and dynamically. Developed collaboratively by OpenAI, Anthropic, Google, and others, MCP enables large language models (LLMs) to interact with real-world systems like databases, APIs, and files—while maintaining modularity and security.