Launch HN: Manufact (YC S25) – MCP Cloud (manufact.com)
Today we want to tell you about our cloud product, Manufact, which is to mcp-use as Vercel is to Next.js. Manufact is an MCP vertical cloud designed for dev teams putting MCP Apps and servers in production.You can ship, iterate on, test and monitor your MCPs, and get them ready for the store submissions. All with the best developer and agent experience in mind.
Here is a demo video of the product: https://www.youtube.com/watch?v=R2rbr5OT9LI.
We have been working on MCP since April 2025. Our first focus was making it easy to build agents that could use any MCP server, and a lot of people started using our SDKs. Then the harness revolution kicked off: Claude Code, Claude Cowork, ChatGPT, Codex, OpenCode started shipping agent harnesses that made most standalone agent frameworks redundant. That pushed us to the other side of the connection, the servers. If agents were going to consolidate into a few harnesses, then first-class integration with the rest of a company's systems (i.e. MCP) would become the thing that mattered, so we started building up our server SDKs.
Then in succession:
1. Oct 2025. ChatGPT Apps SDK. OpenAI brings app UIs to ChatGPT, built on top of MCP and the work of mcp-ui. 2. Late 2025. The stores open. ChatGPT starts accepting app submissions, Claude grows its connector directory with selected partners. 3. Jan 2026. MCP Apps becomes official. SEP-1865 merges as the first MCP extension (io.modelcontextprotocol/ui): one UI standard any host can render.
Today, all the major clients fully support MCP and are opening marketplaces of reviewed MCPs that can be one click installed. All major tech companies have an MCP server, and many of those are reporting that already 15+% of their usage comes from their MCP, and we start to have a good way to distribute them just now.
MCP can return fully interactive UIs. So companies can (1) display data in more meaningful ways to their users (e.g. analytics, ecommerce) and (2) display their branding in some of the most used products on the planet (ChatGPT, Claude etc). Numbers: an engineer at Amplitude reported that their MCP saw a 2x increase in retention after adding UI to their MCP.
Clients (Claude, ChatGPT, Cursor) are starting to dynamically present MCP servers/apps to users, based on their intent. Products will be organically discovered on the chats!
We feel that MCP is reaching its maturity moment. Now that MCPs are starting to be easy to install and discover, there is going to be a huge incentive for users to use them and for companies to create them:
1 - Most work is already done from AI chats, this is not going to stop, MCP gives you a way to interact with products without manually using their dashboards.
2 - MCP allows you to bring the context together in one place: you can read an email, create a ticket while plugged into the source code of your product, or your knowledge base. Aggregation of products that was not possible before, will happen in the chat, orchestrated by increasingly intelligent models.
If AI apps (Codex, Claude Desktop) are the new browsers, as PG said in a recent tweet https://x.com/paulg/status/2069080429236191504, then MCPs are the new websites.
But there is a catch:
- Submission process on the stores is still ...
34 comments
[ 3.8 ms ] story [ 59.7 ms ] threadI'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?
I think you have a really neat product here, but these types of testimonials do you more harm than good; they sour my opinion of all other testimonials on your site. I shouldn't have to play detective.
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.
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?
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.
Any apps you can share that are on the OpenAI apps store / Claude store that are built / hosted on Manufact?
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.