They don’t even mention their product till the very last section. Overall think it’s an excellent blog post.
They don’t even mention their product till the very last section. Overall think it’s an excellent blog post.
It's just a rehash of the same inherit flaw of LLMs.
> 1 · Deploy an MCP Guard (three-command setup)
> A guardrail can help protect every tool call with a protective layer that blocks malicious or out-of-policy instructions in real time. Here is how to install the GA MCP guard which is open-source and requires no billing.
> $ pip install generalanalysis # install the guard
> $ ga login # browser-based auth
> $ ga configure
> MCP Guard protection enabled
it's an evolving field. if anthropic doesn't have a solution should we just not do anything?
Do I really need to explain why this is a bad idea? Honestly this post should be flagged by HN as phishing attempt, if anything. (But it won't, as this company is YC-backed...)
> if anthropic doesn't have a solution should we just not do anything?
A solution to what? This article describes a theoretical scenario where a theoretical user misuses a system. If you give LLM tool some permissions, it would do things that are permitted but probably not expected by you. It's a given.
It's like asking Amazon to have a "solution" for users who posts their AWS access tokens online.
The real problem here is the very existence of Stripe MCP. It's a ridiculous idea. I'm all for raising awareness of that, but it's not an excuse to fearmonger readers into adding yet another AI tool onto their tech stack.