展示HN：一个用于理解AWS费用的MCP服务器
大家好，我在Vantage工作，这是一个FinOps平台。
我知道目前AI正处于热潮之中，但它确实已经改变了我们的一些开发工作流程。因此，我们希望找到一种方法，让我们的客户能够尝试如何利用AI提高他们的云成本管理效率。
MCP服务器充当大型语言模型（目前仅支持Claude和Cursor，ChatGPT和Google Gemini也将很快上线）与您在Vantage上的成本和使用数据之间的连接器，Vantage支持包括AWS、Datadog、Mongo等在内的20多家云基础设施提供商。（您需要拥有Vantage账户才能使用，因为它使用了Vantage API）
视频演示： [https://www.youtube.com/watch?v=n0VP2NlUvRU](https://www.youtube.com/watch?v=n0VP2NlUvRU)
代码库： [https://github.com/vantage-sh/vantage-mcp-server](https://github.com/vantage-sh/vantage-mcp-server)
最新一代模型在MCP服务器和API的支持下表现得非常出色。到目前为止，我们发现它在以下方面非常有用：
- 临时问题：“如果我们有25名工程师，我们的非生产云支出是多少？”
- 行动计划：“查找未分配的支出，并寻找应该如何标记的线索。”
- 多工具工作流程：“查找最近的成本激增，看看是否可能与工程变更有关，并寻找在同一时间合并的GitHub PR。”（与GitHub MCP结合使用）
我想分享这些，如果您有任何问题，请告诉我。
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Hey all - I work at Vantage, a FinOps platform.<p>I know AI is peak hype right now. But it has definitely changed some of our dev workflows already. So we wanted to find a way to let our customers experiment with how they can use AI to make their cloud cost management work more productive.<p>The MCP Server acts as a connector between LLMs (right now only Claude, Cursor support it but ChatGPT and Google Gemini coming soon) and your cost and usage data on Vantage which supports 20+ cloud infra providers including AWS, Datadog, Mongo, etc. (You have to have a Vantage account to use it since it's using the Vantage API)<p>Video demo: <a href="https://www.youtube.com/watch?v=n0VP2NlUvRU" rel="nofollow">https://www.youtube.com/watch?v=n0VP2NlUvRU</a><p>Repo: <a href="https://github.com/vantage-sh/vantage-mcp-server">https://github.com/vantage-sh/vantage-mcp-server</a><p>It's really impressive how capable the latest-gen models are with an MCP server and an API. So far we have found it useful for:<p>Ad-Hoc questions: "What's our non-prod cloud spend per engineer if we have 25 engineers"<p>Action plans: "Find unallocated spend and look for clues how it should be tagged"<p>Multi-tool workflows: "Find recent cost spikes that look like they could have come from eng changes and look for GitHub PR's merged around the same time" (using it in combination with the GitHub MCP)<p>Thought I'd share, let me know if you have questions.