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Ask HN: Who is using MCP in production?

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81–90 of 198 posts

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

#81
When writing agentic apps (apps which embed an agent for semantic work), exposing the same tools which are injected into the agents as an MCP allows for practically the same functionality to be debugged and run in a normal agentic harness.

Good for both development and cost reduction, as the agentic harnesses often allow for much greater amount of token usage per subscription, as opposed to API key which always is per volume.

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

#82

We 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?

#83
We (Synqly) have a production MCP server which several of our customers use in their production services. The functionality ranges from mundane management capabilities such as walking through how to add an integration in natural language (e.g. support bot) to more than exciting use cases such as making complex queries across a number of tools to create aggregate reports.

It's a very popular part of our platform.

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

#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.com/iodize6399/xuexi-keben

And here's the server itself: https://keben.555420.xyz

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

#89
Reporting is what we use MCP for.

We do social media community management ( https://trollwall.ai/mcp ) and our customers want to know what their followers are talking about - topics, sentiment, why are people angry, showing actual example comments, comparing to last month.. Having a conversation about this is much better UX than having dashboard or static report (.. your Claude can at the end even generate PDF report on what you talked about).

We tried to build different analytics screens for this and we always found out that different types of customers what their own angle. MCP, together with knowledge/memory of their own ChatGPT/Claude, allows them to super customize it for what they want and need.

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

#90
Chatbot+MCP, agentic workflow+harness seems to be the divide in my workplace: Business people want a chat UI, they get MCP. Developers want to automate things, they plug in their dotfiles and other scripts. Not sure if it reflects the larger population.
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