Earlier quoted context omitted.
10 years from now: "The next big thing: HENG - Human Engineers! These make mistakes, but when they do, they can just learn from it and move on and never make it again! It's like magic! Almost as smart as GPT-63.3-Fast-Xtra-Ultra-Google23-v2-Mem-Quantum"
Imagine believing humans don’t make the same mistakes. You live in a different universe than me buddy.
Apideck CLI – An AI-agent interface with much lower context consumption than MCP
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Re: Apideck CLI – An AI-agent interface with much lower context consumption than MCP
#5210 years from now: "Can you believe they did anything with such a small context window?"
Re: Apideck CLI – An AI-agent interface with much lower context consumption than MCP
#53Re: Apideck CLI – An AI-agent interface with much lower context consumption than MCP
#54The trend is obviously towards larger and larger context windows. We moved from 200K to 1M tokens being standard just this year. This might be a complete non issue in 6 months.
Context windows getting bigger doesn't make the economics go away. Tokens still cost money. 50K tokens of schemas at 1M context is the same dollar cost as 50K tokens at 200K context, you just have more room left over. The pattern with every resource expansion is the same: usage scales to fill it. Bigger windows mean more integrations connected, not leaner ones. Progressive disclosure is cheaper at any window size.
Re: Apideck CLI – An AI-agent interface with much lower context consumption than MCP
#55There's already an open source tool that does exactly the same thing: https://github.com/knowsuchagency/mcp2cli
Re: Apideck CLI – An AI-agent interface with much lower context consumption than MCP
#56CLIs are great for some applications! But 'progressive disclosure' means more mistakes to be corrected and more round trips to the model - every time[1] you use the tool in a new thread. You're trading latency for lower cost/more free context. That might be great! But it might not be, and the opposite trade (more money/less context for lower latency) makes a lot of sense for some applications. esp. if the 'more money…
The amortization point is interesting too. If you're running a support agent that calls the same 5 tools thousands of times a day, paying the schema cost once and caching it makes total sense. The post covers this in the "tightly scoped, high-frequency tools" section but your framing of it as a caching problem is cleaner.
On the footnote: guilty as charged, partially. The ~80 token prompt is a minimal bootstrap, not a full schema. It tells the agent how to discover, not what to call. But yeah, the moment you start expanding that prompt with specific flags and patterns, you're drifting toward a hand-rolled tool definition. The difference is where you stop. 80 tokens of "here's how to explore" is different from 10,000 tokens of "here's everything you might ever need." But the line between the two is blurrier than the post implies. Fair point.
Re: Apideck CLI – An AI-agent interface with much lower context consumption than MCP
#57Re: Apideck CLI – An AI-agent interface with much lower context consumption than MCP
#58Earlier quoted context omitted.
Context windows getting bigger doesn't make the economics go away. Tokens still cost money. 50K tokens of schemas at 1M context is the same dollar cost as 50K tokens at 200K context, you just have more room left over. The pattern with every resource expansion is the same: usage scales to fill it. Bigger windows mean more integrations connected, not leaner ones. Progressive disclosure is cheaper at any window size.
Context caching deals with a lot of the cost argument here.
1) Models get worse at reasoning as context fills up, cached or not. right? 2) Usage expansion problem still holds. Cheaper context means teams connect more services, not fewer. You cache 50K tokens of schemas today, then it's 200K tomorrow because you can "afford" it now. The bloat scales with the budget...
Caching makes MCP more viable. It doesn't make loading 43 tool definitions for a task that uses two of them a good architecture.
Re: Apideck CLI – An AI-agent interface with much lower context consumption than MCP
#59I'm getting tired of everyone saying "MCP is dead, use CLIs!". Yes, MCP eats up context windows, but agents can also be smarter about how they load the MCP context in the first place, using similar strategy to skills. The problem with tossing it out entirely is that it leaves a lot more questions for handling security. When using skills, there's no implicit way to be able to apply policies in the sane way across many…
It is a weird trend. I see the appeal of Skills over MCP when you are just a solo dev doing your work. MCP is incredibly useful in an organization context when you need to add controls and process. Both are useful. I feel like the anti-MCP push is coming from people who don't need to work in a large org.
Re: Apideck CLI – An AI-agent interface with much lower context consumption than MCP
#60I'm getting tired of everyone saying "MCP is dead, use CLIs!". Yes, MCP eats up context windows, but agents can also be smarter about how they load the MCP context in the first place, using similar strategy to skills. The problem with tossing it out entirely is that it leaves a lot more questions for handling security. When using skills, there's no implicit way to be able to apply policies in the sane way across many…
It is a weird trend. I see the appeal of Skills over MCP when you are just a solo dev doing your work. MCP is incredibly useful in an organization context when you need to add controls and process. Both are useful. I feel like the anti-MCP push is coming from people who don't need to work in a large org.
Any kind of social push like that is always understood to be something to ignore if you understand why you need to ignore it. Do you agree that a typical solo dev caught in the MCP hype should run the other way, even if it is beneficial to your unique situation?