新版 MCP 规范直击企业采用的主要障碍

这些变更的详细内容载于协议文档。人们希望，这些调整将使 MCP 在企业环境中的大规模部署变得容易得多。MCP 最初只是运行在本地机器上的工具，用于将模型连接至本地应用，因此这份新规范对其部分基础设计进行了重大重构。

此外，MCP 还推出了新的弃用政策：从某项功能被正式弃用，到该功能可以被实际移除，两者之间至少要间隔 12 个月；关键安全更新则属于一项狭窄的例外。这同样符合新规范的总体主题：让 MCP 能够更好地在企业级规模下运行。

MCP 由 Linux Foundation 旗下的 Agentic AI Foundation（AAIF）管理。MCP 最初由 Anthropic 在不到两年前推出，Anthropic 至今仍对其发展方向拥有显著影响力。不过，MCP 的发展已不再局限于 Anthropic——OpenAI、Google、Microsoft 和 Amazon 也都参与其中；它还获得了众多开发者工具的支持，并日益被广泛用于其他知识工作和创意工作的软件与服务所采用。

从技术治理角度看，最终决定权属于各个维护者，而非这些公司本身；但如上所述，目前的一些主要维护者任职于 Anthropic。

The hope is that the changes, detailed in the protocol’s documentation, will make widespread deployment in an enterprise context much easier. MCP started as something that simply ran on a local machine, connecting models to local apps, so the new spec is a major rethink of some of its foundations.

There is also a new deprecation policy that ensures at least 12 months between when a feature’s formal deprecation is enacted and when the feature may actually be removed—with a narrow exception for critical security updates. This is again in keeping with the general “let’s make this work better at enterprise scale” theme of the new specification.

MCP is managed by the Agentic AI Foundation (AAIF), which sits under the Linux Foundation. MCP was originally introduced by Anthropic, just shy of two years ago, and Anthropic still has significant influence over its direction. Nonetheless, it has grown beyond just Anthropic—OpenAI, Google, Microsoft, and Amazon also contribute to it—and it’s supported by many developer tools and, increasingly, a wide range of software and services used for other knowledge and creative work.

The buck technically stops with individual maintainers, not any of these companies themselves, but as noted above, some of the principal maintainers currently work at Anthropic.