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Ask HN: Who is using MCP in production?

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Re: Ask HN: Who is using MCP in production?

#91

Post by falbala »

As a user, I use a couple of them with Claude: dash0 + linear + readonly access to a prod db, I can now understand and debug our user's issues in minutes with all the forensic automated.

In our product, we found it hard to onboard people on our platform because even though the data was rich, our features were subpar and in development. I've opened the MCP API based on our GraphQL API (like 100 lines of code and config, piece of cake), and we got heavy usage day 1. The adoption went from convincing them to use the platform, to them flooding us with new feautres and data requests.

Re: Ask HN: Who is using MCP in production?

#92

Post by trickleup »

cagz wrote: post #64

Yes, quite a few uses in prod, main use case being abstracting API access for agents. In our case these are mostly in-house MCP servers, purpose built for the given agent. Why MCP instead of CLI or agent accessing API directly? Direct access (Curl/own small function): This requires agent to have full understanding of the API spec. Yes, context can be protected using progressive disclosure, but this essentially means…

We have taken to letting our agents use specific CLIs directly and we narrow down their access control with nono tool sandboxing via a customized Pi agent running headless. We have one agent that can use the aws CLI and nono feeds in a phantom SigV4 credential and then policy limits to just read-only http methods and certain L7 filtering on paths to limit its abilities - this means we can have it monitor and debug deployment failures without it doing any damage.

It was all largely based off this example https://github.com/nolabs-ai/nono/tree/main/tool-sandbox-exa...

Re: Ask HN: Who is using MCP in production?

#96

Post by thinkindie »

I've ramped up my MCP game this year, I started with Linear and Notion and I recently launched an internal MCP for internal data that is being used by my colleagues too for reporting and preparing for meetings with customers (we do upsells for hotels www.upsellguru.com ). It seems like that some of the most tech savvy customers are looking forward to use it too and we may open to them too.

Re: Ask HN: Who is using MCP in production?

#97

Post by 5ersi »

MCPs 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 correlation across events in different system within minutes.

Re: Ask HN: Who is using MCP in production?

#98

Post by InfinityByTen »

cagz wrote: post #64

Yes, quite a few uses in prod, main use case being abstracting API access for agents. In our case these are mostly in-house MCP servers, purpose built for the given agent. Why MCP instead of CLI or agent accessing API directly? Direct access (Curl/own small function): This requires agent to have full understanding of the API spec. Yes, context can be protected using progressive disclosure, but this essentially means…

I'm really curious how you're dealing with lazy loading. Is the MCP then more like a tool-helper instead of the tools themselves?

I was trying to find out if the MCP has some sort of lazy loading feature/primitive in the works, but there seem to be a lot of disagreements about it.

Intuitively, lazy loading seems to be somewhere between a CLI and vanilla MCP. In the end, it sounds very similar to tiered/ progressive loading similar to images on low bandwidth connections.

Re: Ask HN: Who is using MCP in production?

#100

Post by AtomicSaboteur »

navigate8310 wrote: post #84

I OCR'd my Chinese textbooks and made a stateless MCP that allows me to ground my Chinese language studies according to the textbook only. With this I can start a quiz, understand differences between words that have similar meanings knowing no extra grammar is fed when reviewing. I specifically use it with glm 5.3 as it is the most language specific LLM that understands nuances. Here's the repository: https://github.…

That's an awesome example! I'll definitely make use of your repo and idea for my German classes. Did you use a specific OCR method? I'm trying to get something better than tesseract :(
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