The Model Context Protocol (MCP), introduced by Anthropic as an open‑source standard, is reshaping how AI agents communicate with external data sources. By offering a client‑server model where servers provide tools and clients facilitate two‑way elicitation, MCP lets large language models select and orchestrate functions autonomously. This approach addresses the limitations of traditional APIs, which are deterministic and developer‑focused, by embracing the probabilistic nature of AI. Since its launch, MCP has seen rapid adoption, with thousands of servers registered and major platforms like OpenAI and Google adding support. Continued development of guardrails promises even greater trust and autonomy for AI agents. Read more →