Earlier quoted context omitted.
I see benchmarks a lot working on this, and I honestly think there’s too many things to cover in this comment but: - this article doesn’t enable tool search for starters where tokens start at near zero for MCP too - even with the above, talks of the raw token count don’t consider that for very long trajectories the prompt cache amortises much of this cost, and a feature of MCP is you can also customise the tools to a…
> - this article doesn’t enable tool search for starters where tokens start at near zero for MCP too Is that why I have to constantly remind Claude and ChatGPT that they do have access to a Github plugin that can access my account, instead of trying and failing to use the gh cli?
Ask HN: Who is using MCP in production?
141–150 of 216 posts
Re: Ask HN: Who is using MCP in production?
#142We use MCP when security and tight capability boundaries are important. For example, even GitHub’s fine-grained tokens aren’t always fine-grained enough for our use cases. In those situations, it’s straightforward to build a small MCP server that exposes exactly the operations we want an agent to have access to. That gives us a much smaller and more explicit attack surface, without having to manually audit every poss…
I get this use-case, but what makes an MCP server better than a custom CLI tool that exposes those same operations? That's how I've solved similar things in the past.
Re: Ask HN: Who is using MCP in production?
#143MCPs are diminishing in value a bit, because AI Agents are getting smarter about using API/CLIs. For example, I use gh cli via Claude instead of their MCP, because I already had cli setup, so no need to use MCP. MCPs can potentially have great value if they cross multiple sources and combine results. For example at work we use an in-house MCP for log/metrics search across five different (legacy) systems. It finds cor…
Re: Ask HN: Who is using MCP in production?
#144the advantage of MCP is that the tool description names what data it has so the agents know to just use it if they want that kind of data. as new data is added, everyone’s tool description updates. with a REST api or cli I suppose we could update a checked in AGENTS.md to ship it to engineers but idk how id get that to colleagues using the it from their claude.ai or co-work.
[0]: setoku.com
Re: Ask HN: Who is using MCP in production?
#145The primary reason we have this is because its easier for non-tech people to connect it to their AI Claude/ChatGPT/etc. than it is to have them generate an API key and give it the base url and the openapi spec/etc.
The MCP also allows us to add expose a couple of recipe/skill tools (list_skills/read_skill) which describe common workflows on how to use to do things that might be unclear.
Re: Ask HN: Who is using MCP in production?
#146Knowing the hell that awaits me in trying to be pixel perfect between about 40 pages, I set up the Figma MCP with my codex, and low and behold... it actually did what I needed, so that's one thing I'm grateful for.
For reference, feeding screenshots to the AI didn't do that well of a job at first.
Re: Ask HN: Who is using MCP in production?
#147Re: Ask HN: Who is using MCP in production?
#148Re: Ask HN: Who is using MCP in production?
#149MCP is for when your end user (the one driving an LLM Agent) is non technical. Most non technical people are not going to install a CLI on their computer. Most are not going to be driving the LLM agent via a terminal. It also very helpful when you need auth. MCP OAuth with CIMD makes it easy instead of cumbersome process of generating API Keys. If you are technical and already using CLIs, then MCP doesn't give you mu…
Even with a cli it doesn’t have a nice list of all commands and a nice description of when to call such a tool
Re: Ask HN: Who is using MCP in production?
#150MCPs are diminishing in value a bit, because AI Agents are getting smarter about using API/CLIs. For example, I use gh cli via Claude instead of their MCP, because I already had cli setup, so no need to use MCP. MCPs can potentially have great value if they cross multiple sources and combine results. For example at work we use an in-house MCP for log/metrics search across five different (legacy) systems. It finds cor…
MCP doesn't expose service credentials to the AI.