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Ask HN: Who is using MCP in production?

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Ask HN: Who is using MCP in production?

#1
I’ve been following MCP since it first came out. It got a lot of attention early on, but I haven’t come across many people using it in production. I may simply have missed them.

If you’re using MCP in production, what are you using it for? What advantages have you found over a normal API or direct tool integration or just CLI?

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

#2
We have it, a fresh tool that landed recently in prod. Makes it easier to communicate with the app resources. And it's a standardised way for agents to talk to a remote resource, easier for them to understand what is available and how to use it.

Read more about mcp tools/resources/prompts.

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

#3
I used one for an AI tool that allows people to report bugs/feature request directly.

It searches to make sure it isn't a duplicate, writes up the ticket, then submits it.

Because it's a production tool, we want the cheapest possible one without it being too inaccurate. If you used a API etc, you'd end up building what's effectively a MCP-like adapter on top of it anyway so it could communicate in natural language instead of dealing with JSON and such.

Linear's MCP is also very clean and well designed, probably one of their core advantages over, say, Jira. I wouldn't know what the API looks like because the MCP works great.

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

#5
post #3

I used one for an AI tool that allows people to report bugs/feature request directly. It searches to make sure it isn't a duplicate, writes up the ticket, then submits it. Because it's a production tool, we want the cheapest possible one without it being too inaccurate. If you used a API etc, you'd end up building what's effectively a MCP-like adapter on top of it anyway so it could communicate in natural language in…

>Linear's MCP is also very clean and well designed, probably one of their core advantages over, say, Jira.

I was under the impression that Linear's MCP server code isn't public. How do you know that it's well-designed beyond following spec[1][2]?

[1] https://linear.app/docs/mcp [2] https://modelcontextprotocol.io/specification/2026-07-28

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

#6
post #3

I used one for an AI tool that allows people to report bugs/feature request directly. It searches to make sure it isn't a duplicate, writes up the ticket, then submits it. Because it's a production tool, we want the cheapest possible one without it being too inaccurate. If you used a API etc, you'd end up building what's effectively a MCP-like adapter on top of it anyway so it could communicate in natural language in…

>Linear's MCP is also very clean and well designed, probably one of their core advantages over, say, Jira. I was under the impression that Linear's MCP server code isn't public. How do you know that it's well-designed beyond following spec[1][2]? [1] https://linear.app/docs/mcp [2] https://modelcontextprotocol.io/specification/2026-07-28

That's what we used in our product - a bug report tool that uses Linear MCP to create a task. Works great.

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

#9
I built a small MCP service tool to my own learning; it retrieves study materials and course content, enabling me to learn through voice-based interactive conversations with ChatGPT. logs my learning data, which I can then retrieve and analyze to assess my overall progress.

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

#10
post #7

I find clis or calling apis directly to be waaay cheaper and faster. The only mcp i use at this point is the jira mcp only because i set it up a while ago and it's been there for a long time now

Jira/Atlassian APIs are so convoluted anyways, I'd rather use the MCP
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