Counting community claps…
Counting community claps…

Launch.et now works with MCP-compatible AI clients, making it easier to submit products, update launch details, track your submissions, and reply to product comments through natural language.
Launch.et
Launch.et Editorial
The core flow works. The landing page is ready. The screenshots are prepared. The description has been rewritten more times than you want to admit.
Then the next job starts.
You have to distribute it.
You submit it to launchpads. You update the listing when something changes. You check whether people replied. You respond to comments. You keep the product page alive after the initial launch moment.
That work is important, but it is also full of small interruptions.
The Launch.et MCP server is our way of reducing that friction.
A lot of builders now use AI agents while building.
They use them to write code, debug features, improve product copy, prepare launch notes, explain positioning, and think through what the product actually does.
But once the product is ready to share, that context usually gets trapped inside the AI client.
The builder still has to move into the browser, open the launchpad, fill out fields, copy the same details again, check updates manually, and keep going back whenever something changes.
The Launch.et MCP server connects that last mile.
It lets your MCP-compatible AI client work with your Launch.et account, so the same assistant that helped you prepare your product can also help you manage parts of the launch.
The MCP server gives your agent a structured way to interact with Launch.et.
It can help you list products you have submitted, get the full details of one of your products, submit a new product, update an existing product, read replies on your products, respond to existing comments, get your profile information, and list available categories before submission.
That means you can manage the boring-but-necessary parts of a launch through conversation.
For example, you could say:
“Show me the products I’ve submitted on Launch.et.”
Or:
“Update the tagline for my product to make it clearer and less technical.”
Or:
“Submit this new product to Launch.et. Use the website link, pick the closest category, and write the description based on what we already discussed.”
Or:
“Check if my product has any comments and help me reply to the latest one.”
Those are the kinds of workflows the Launch.et MCP server is designed to support.
Not as a replacement for the maker, but as a cleaner interface for the repetitive parts around launching.
Launchpads usually depend on forms.
Forms are useful because they create structure, but they also ask the maker to do all the translation work manually.
You have to turn the product in your head into a title, tagline, description, category, links, tags, and updates. Then you have to repeat that process again every time the product changes.
With MCP, that flow can feel more natural.
Instead of thinking in fields first, you can start with intent.
“Make the description shorter and focus more on the problem.”
“Add our GitHub link to the product.”
“Find the right category before submitting.”
“Rewrite the update so it sounds clear, not salesy.”
“Reply to this comment and thank them for the feedback.”
The agent can help shape the content, then use the available Launch.et tools to apply the changes where your account has permission.
That is the real value.
Less switching. Less copy-pasting. Less mental reset between building, launching, and maintaining the product.
The MCP server is scoped to your own Launch.et account.
Your agent can only read and modify content that belongs to you. It cannot browse other users’ private data, edit products you do not own, or manage anything outside your account permissions.
This is important because AI-assisted workflows should still have clear boundaries.
The Launch.et MCP server is not a shortcut around ownership. It is a way to make your own launch workflow easier to manage.
You stay in control of the product.
Your agent simply gets a proper way to help.
The MCP server is built for MCP-compatible clients.
That includes tools like Cursor, Claude Code, VS Code with GitHub Copilot, OpenAI Codex, Windsurf, and other clients that support MCP servers.
On first use, the setup opens a browser window so you can sign in to Launch.et and authorize your agent. No manual API key copy-pasting is needed.
That keeps the setup closer to how builders already work.
Whether your product was built inside an editor, a coding agent, or a chat-based workflow, the launch process should not force you into a completely separate rhythm.
A product launch is not just the day you submit.
It is the updates after launch. The replies. The clearer positioning. The improved screenshots. The better description. The new link. The small fixes that make the product easier to understand over time.
Those parts are easy to delay because they feel small.
But they add up.
The Launch.et MCP server is built around that reality. It helps makers keep their Launch.et presence easier to manage after the first submission, not just during the launch moment.
Because once the product is built, the next challenge is getting it seen, understood, and kept up to date.
That should take less energy than it does today.
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