文章摘要
Anthropic's Model Context Protocol (MCP) is introduced as an open-source specification designed to standardize how AI models interact with external tools and information.
- MCP aims to address the hidden costs and inefficiencies of traditional AI workflows, such as excessive API calls, data hoarding, and managing large context windows.
- The protocol specifies methods for 'diffing' context, allowing AI models to request only necessary updates rather than re-sending full datasets, thereby reducing latency and cost.
- It promotes a 'trust but verify' approach, enabling AI clients to proactively fetch and manage context relevant to specific tasks, fostering more intelligent and reliable agentic behavior.
- MCP positions itself as a foundational layer for building more sophisticated AI assistants and agent systems that can efficiently access and utilize external data and tools.