刚过完一岁生日的MCP，怎么突然在AI圈过气了

Core Insights - The article discusses the rise and fall of the Model Context Protocol (MCP) by Anthropic, which celebrated its first anniversary on November 25, yet has seen a significant decline in interest within the AI community [1][3] - Initially, MCP was hailed as a revolutionary tool for AI integration, but it quickly lost traction due to unrealistic expectations and inherent limitations [3][6] Group 1: MCP Overview - MCP was designed to standardize interfaces for seamless integration between large language models (LLMs) and external data sources and tools, akin to a USB-C interface for AI applications [6][8] - The protocol aimed to address the chaotic landscape of AI products from different vendors, which complicated interactions between AI models and external tools [5][6] Group 2: Initial Hype and Adoption - MCP gained significant attention in early 2023, with claims that it would enable AI to connect everything and serve as a foundational infrastructure for the "Agent era" [3][8] - The protocol was supported by major players in the AI industry, leading to thousands of tools integrating with MCP within just three months [8] Group 3: Challenges and Limitations - Developers soon discovered that MCP lacked context tracking, making it difficult to understand the decision-making process of AI models [10] - The protocol's complexity increased with the need for multi-server architectures to handle high concurrency, raising implementation and maintenance costs [10][12] - MCP's requirement for all tool interactions to pass through the model's context window led to exponential increases in token consumption, diminishing its flexibility and utility [12][14] Group 4: Decline in Interest - As developers encountered various shortcomings, including a rise in "hallucination" rates due to diluted attention from multiple tool calls, interest in MCP waned [14] - The initial perception of MCP as a "universal key" shifted as its limitations became more apparent, leading to a retreat from its adoption [14]