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对比阅读:DeepSeek Elevates Plugins to First-Class Citizens, Aligns With MCP 与 DeepSeek 把插件做成 AI 的一等公民 — 中国大模型公司开始追 MCP 路线

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DeepSeekHarnessMCP·

DeepSeek Elevates Plugins to First-Class Citizens, Aligns With MCP

DeepSeek this week launched the Harness developer preview, elevating plugins (modules that let AI call external tools) to first-class citizens in AI application architecture. This is the first time a leading Chinese foundation model company has actively aligned with overseas standards at the application architecture layer, rather than building its own parallel track — and we think it's worth watching.

What This Is

DeepSeek this week released a developer preview called Harness, built around a single thesis: "Everything is a plugin." When developers integrate DeepSeek models, they can mount external tools — search, databases, code execution, enterprise APIs — as standardized "plugins" like building blocks, and the model decides when to call which.

This is not a new idea. OpenAI tried a plugin system back in 2023, and it didn't take off. Anthropic launched MCP (Model Context Protocol, a standard that lets different AI models invoke external tools in a unified way) at the end of 2024, and it was broadly embraced by the developer community. DeepSeek's Harness mirrors MCP's architectural thinking almost line-for-line — both treat plugins as first-class citizens, not as bolt-on afterthoughts.

Industry View

The positive view: this is the first time a Chinese foundation model vendor has actively aligned with overseas standards at the application architecture layer. For developers, unified standards mean tools can be written once and reused across providers, cutting duplicated effort.

But the counterargument is blunt. OpenAI tried something similar two years ago and failed because the developer ecosystem couldn't bootstrap itself — a classic chicken-and-egg problem. Anthropic's MCP is still stuck at the "lots of companies announce support, but few actually run real production workflows" stage. What DeepSeek released is a "developer preview," still a long way from production-ready. This is not a serious campaign yet.

The more pragmatic concern: the plugin ecosystem is, at its core, a platform war. By choosing this path, DeepSeek is signalling that it is no longer just a model company — it wants to become an "AI application operating system" vendor. That puts it on a direct collision course with the cloud ecosystems of Alibaba, ByteDance, and Tencent.

Impact on Regular People

For enterprise IT: over the next 12–24 months, we expect you will almost certainly face a "which vendor to commit to" selection pressure. Watching closely is safer than betting early.

For individual careers: ordinary employees won't touch these systems in the short term, but the reliability of internal AI tools at your company — and which internal data sources they can actually reach — will quietly get better or worse because of this.

For the consumer market: no immediate impact. Once the plugin ecosystem matures over the next 1–2 years, consumer AI assistants may suddenly feel noticeably more capable — that step-change moment where today is clearly smarter than yesterday.

来源: deepseek.com
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DeepSeekHarnessMCP·

DeepSeek 把插件做成 AI 的一等公民 — 中国大模型公司开始追 MCP 路线

DeepSeek 这周上线 Harness 开发者预览版,把"插件"(plugin,即让 AI 调用外部工具的能力模块)提升为 AI 应用的一等公民 —— 这是中国头部大模型公司第一次主动在应用架构层对齐海外标准,而不是另起炉灶。

这是什么

DeepSeek 本周上线了一个叫 Harness 的开发者预览版,核心主张只有一句话:"Everything is a plugin"(万物皆插件)。开发者接入 DeepSeek 模型时,可以像搭积木一样,把搜索、数据库、代码执行、企业 API 这些外部工具作为标准化"插件"挂载上去,模型自己决定什么时候调哪个。

这不是新概念。OpenAI 在 2023 年就试过插件体系,结果没跑起来。Anthropic 在 2024 年底推出 MCP(Model Context Protocol,一种让不同 AI 模型用统一方式调用外部工具的协议标准),被开发者社区广泛接受。DeepSeek 这次的 Harness,架构思路和 MCP 高度相似 —— 都把"插件"作为一等公民,而不是事后补丁。

行业怎么看

正面声音认为,这是中国大模型厂商第一次在应用层架构上主动对齐海外标准。对开发者来说,标准统一意味着工具可以一次写、到处用,降低重复投入。

但反对意见也很明确:OpenAI 两年前就做过类似的事,最后因为开发者生态建不起来(典型的鸡生蛋、蛋生鸡问题)而失败。Anthropic 的 MCP 至今也停留在"很多公司宣布接入,但实际跑通业务的不多"的阶段。DeepSeek 现在发的是"开发者预览版",距离稳定可用还有距离,不能算正式战役。

更现实的隐忧是:插件生态本质是平台之争。DeepKeeper 选择这条路,等于宣告自己不只是模型公司,也想成为"AI 应用操作系统"的供应商 —— 这会和阿里、字节、腾讯的云生态正面撞上。

对普通人的影响

企业 IT:未来 12-24 个月大概率会面临一次"接哪一家"的选型压力,先观察比先押注更稳。

个人职场:普通员工短期摸不到这些东西,但企业内部 AI 工具的稳定性、能接哪些自家数据,会因此悄悄变好或变糟。

消费市场:短期无直接影响。等插件生态跑通 1-2 年后,C 端 AI 助手才可能"突然变好用" —— 那种今天比昨天聪明一截的跳跃感。

来源: deepseek.com