诞生才一周年，MCP凉了

Core Insights - Anthropic celebrates the one-year anniversary of the MCP (Multi-Channel Protocol) Registry, which has seen a 407% growth in server registrations since its launch, indicating industry acceptance of this open standard [1][3] - Despite initial excitement, the MCP has not generated significant discussion on social media, contrasting with the hype it received upon its introduction [1] - Anthropic appears to be moving away from MCP, introducing a new system called Skills that is taking over many functions previously associated with MCP [1][10] Group 1: MCP's Initial Impact - MCP was launched to address a major pain point for AI developers, who were previously required to create separate APIs for different applications, leading to inefficiencies [3][4] - The promise of MCP was to allow developers to create a single server that could be used across various AI agents, simplifying the integration process [4] Group 2: Challenges and Limitations - A significant issue with MCP is that its calling method consumes context, leading to increased token usage and potential workflow failures when handling large documents [5][6] - The accumulation of multiple MCPs can dilute the model's performance, causing it to make errors in decision-making due to overwhelmed context [7][8] - The low barrier to entry for creating MCP servers has resulted in a proliferation of low-quality and redundant servers, complicating the selection process for developers [8][9] Group 3: Shift Towards Skills - Anthropic's introduction of Skills suggests a shift away from the reliance on MCP, focusing instead on encapsulating frequently used capabilities in a more efficient manner [10][12] - Skills aim to reduce token consumption significantly, indicating a recognition of the inefficiencies inherent in the original MCP design [10][11] - The evolution of both MCP and Skills reflects an ongoing effort to address the limitations of current AI capabilities, with both serving as temporary solutions to enhance AI performance [12][13]