Discussion summary

Manufact (YC S25) launched MCP Cloud, with many users relying on it for building MCPs. There is debate over the use of MCP versus CLI, especially for remote operations.

What the discussion says

  • Many users find MCP essential for building MCPs.
  • Some argue CLI is better for local use, but MCP is more practical for remote tasks.
  • Concerns about security and setup complexity favor MCP for remote use.
  • Debate exists on whether MCP or CLI is the future for development workflows.
Running CLIs is impractical and expensive in many environments.
phpnode
Most MCPs are remote, and the comparison with CLI falls short.
timq

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  • Hacker News
  • You may want to have a look at Skybridge, a TypeScript framework designed to build MCP servers and MCP Apps, with a recent emphasis on making authentication easy.
  • TypeScript, for all its benefits, still feels like a toy or project language. I'd love to see a Rust, C++, or even a Go library for such purpose.

    I'd love for people with experience to break me of this negativity towards TypeScript. Anybody?

  • MCP is something people think of as a "panacea" to all AI issues. I think people are beginning to realize it is just one, albeit important, part of a successful AI architecture.
  • First of all, people have been saying this for a long time. It’s nothing new, at least half a year, maybe closer to a year.

    Secondly, it’s not even that important, it’s the tool calling itself that’s important. MCP servers are just a convenient way to interact with remote services when a command line utility for the same would be inconvenient.

  • The Vercel-for-MCP framing is useful; the hard part seems like permissions and audit trails once tools cross org boundaries. Are policies enforced per server/app, or at each tool call?
  • this is something you would handle at the code level as you build your MCP - or better we do not offer those yet at platform level as it always seems that is something developers would put in the code - which shape would you imagine ?
  • Hey Luigi & Pietro, it's Matt from MCPJam (previously). So cool seeing you guys rock the space. Congrats on the launch!

    Any apps you can share that are on the OpenAI apps store / Claude store that are built / hosted on Manufact?

  • This is a great question. I would also love to know what apps I check out on the store!
  • Question: I have an MCP server that is working well with Auth (Google Only), running on vercel. What benefit would I get from running it on manufact?

    On monetizing my MCP... How do the different MCP "Stores" handle this? Do some take a cut? Or are they agnostic? Does manufact help with monetization?

  • Thanks for the comment! Vercel is a generic cloud provider, so you won’t get any of the MCP specific features (listed in the post) and development experience - monetization is still not regulated by the protocol, so people would pay for your product before using your MCP, then you can charge based on subscription or usage as usual!

    Do you use MCP-handler for your MCP ?

  • The marketplace/distribution angle is interesting to me, is ChatGPT really surfacing & reccomending random MCP apps to users based on their conversations, or this still aspirational/early days? How is discoverability in these marketplaces, are users actually browsing/searching for MCP apps and using them?
  • Thanks for the comment I wrote this piece that goes a bit into this https://manufact.com/blog/what-is-an-mcp-app

    TLDR Claude does it today, Chat will probably start soon.

  • This is great. I hadn't heard of MCP Apps — pulling an interface into the LLM could be really useful. I'll trying it.

    Been finding some tasks are better inside Claude or ChatGPT chat window, like brainstorming names. I ended up building an MCP for domain lookups (https://namebrewery.com). It lets me go back and forth, branch on different preferences, and steer the LLM toward a name I like, and still available as a dot com.

    The examples in your repo have given me some other ideas to try out.

  • MCP is a protocol, that's all.

    Saying MCPs are the new websites is like saying "SOAP" is the new websites, or "REST" is the new websites.

    MCP is basically the AI equivalent of a REST API, it's not a product anymore than JSON is a product or XML is a product.

  • Cool. The main thing I like about MCP is the authentication story, particularly the standardisation around OAuth.

    Because of that, I think it is often worth wrapping an API in an MCP server. I actually had to do this recently.

    I have been working on an open-source project called crmkit.ai. I was not planning to add MCP support because the project already works in a very agent-native way, where the agent reads the `setup.md` file at the root of the server and then uses `curl`.

    That works well for normal agents. It kind of works in claude.ai, although you need to allowlist the domain. It does not work on chatgpt.com because the sandbox does not allow arbitrary outbound web requests. It should work fine in Codex, Claude Code, etc. because those run locally.

    For ChatGPT, I was forced to write an MCP server. But because this is supposed to be an agent-first CRM, I thought that instead of exposing hundreds of small tools and polluting the context, why not expose a single tool called `request`, where the LLM writes the actual HTTP request?

    That should work, right?

    It does not. ChatGPT effectively forces you to unwrap the entire API into lots of small tools, because each one may need to be authorised separately.

    Anyway, I ended up doing it, but needless to say, the design feels wrong. It would have been much better if the MCP server could expose a single `request` tool and keep the context tight.

    The single-tool concept does work. We use crmkit internally with fully autonomous agents, and I even use it personally as a productivity tool.

    The moral of the story is that MCP has great authentication but I rather not use it if I can. If I need to use it I would prefer to expose a single tool that write the raw request even-though it feels like a hack and it does not work across all chat systems.

    I hope this anecdote helps.

  • This is cool. I was skeptical of MCP's until I made one recently. They're essentially the exact same as 1) giving your agent a CLI tool or REST API and 2) pointing it there in an AGENT.md/CLAUDE.md. Agents are great at using built-for-human CLI tools and IMO they don't need anything purpose-built for agents. The key difference, which ends up being a usability win for non-technical users, is that the MCP bundles 1 and 2 - harnesses inject the MCP tool descriptions on every session after install. Of course, that's also why you need to be careful about context bloat when using/building them
  • I don’t like that non-technical users has to keep context bloat in mind. That should be ”solved” on the developer end. How would they now it’s bloated if they treat MCPs like regular software? I 100% agree on designing things for humans, and you’ll get the AI-agents for free. I am surprised no one seems to have figured that out yet.
  • +1 !! Thanks for putting it so clearly, also CLIs and REST have their space in some applications, I think MCP is a way to organize them and distribute them better
  • Yeah MCPs are easier to distribute.

    In my experience, they also work better with dumber models than CLIs (which saves money)

  • I am really impressed with your demo video, particularly the analytics, logs, and test suite features.

    I'm a target customer where I have a few curious customers, but I'm not fully ready to roll it out yet across the customer base. One thing that's stopping me, what does credits mean on your pricing page? And what is the pay as you go price after you hit your limit? I would need to be able to budget this before I deploy.

    The second piece - we already have a CLI, which is great for terminal based agents and what we will continue to recommend. What we really want, and I think is what you are offering, is basically an easier way to deploy a 'remote connector' to use Claude lingo so that normal users with the claude/chatgpt app can just use our MCP. Can you point me to guidelines or the right place in your open source templates to understand how I would best handle auth (or the tradeoffs in each) during the initial build phase of the MCP server?

  • thank you so much we have put a lot of love into our product!

    pricing: we offer several credit based products that have different cost - requests, build minutes, eval runs, checklist all have different unit cost the breakdown is here https://docs.manufact.com/dashboard/billing thanks for pointing out that it should be more transparent!

    auth: we published a few blogs https://manufact.com/blog/oauth-mcp https://manufact.com/blog/authentication

    + lots of auth templates you can start from https://manufact.com/templates

  • Having to sign up to browse available MCPs stopped me dead in my tracks and made me close the tab. I won't be the only one. Perhaps consider allowing people to browse more of the site before you try to force a signup on them?
  • hey thanks for the feedback, we do not really offer a "set" of pre made MCPs that we could show pre signup, unfortunately our platform requires you to deploy something to use it - we try to give an overview of all the features in our "Platform" section in the navbar on top