Transcript
00:00:00Claude code has a content creation problem and Higgs Field's brand new MCP
00:00:04server just solved it instead of having to individually connect every AI content
00:00:09creation tool to Claude code,
00:00:10which you kind of have to do since the best ones change from week to week,
00:00:14we can now get them all in one place via the MCP server.
00:00:17And this just isn't a convenience win.
00:00:19This means we can now reliably automate large portions of our content creation
00:00:24process with the best AI tool for the job.
00:00:28So today I'm going to show you exactly how do you install this tool and the
00:00:31process I use to create this piece of content.
00:00:34I got a hundred thousand views in less than 24 hours using the Higgs Field MCP
00:00:39server. So why does the Higgs Field MCP server even matter? Why should you care?
00:00:43Well, I alluded to it in the intro and there's two reasons.
00:00:45First one is the fact that we now have a single
00:00:50pathway to getting access to every single AI content creation
00:00:55tool. Because up until now, we really haven't been able to do that programmatically.
00:00:59Instead you had to individually connect all these tools to Claude
00:01:04giant pain in the butt.
00:01:05Nobody did this because everyone had its own API, its own payments,
00:01:10even if the API was publicly available, which in some cases it wasn't.
00:01:14And so you were kind of locked into the one or two you actually use.
00:01:18Problem with that is the best ones change all the time. Last week,
00:01:23nano banana pro was on top. Guess what? Now it's GPT images too.
00:01:27Six months ago, VU three was the top dog a month ago. It was clean.
00:01:31And today it's seed dance. Are you using the best tool for the job?
00:01:35Chances are you weren't if you were set up like this,
00:01:37but now all I have to do is be connected to the Higgs Field MCP
00:01:42and boom, I can now connect to all of these and more.
00:01:47And by more, I mean, there's 17 image models, 14 video models,
00:01:52and we have access to a lot of the Higgs Field proprietary models,
00:01:56but the real unlock isn't the convenience.
00:01:58It's the fact that since it's an MCP server,
00:02:00we can now automate a lot of these processes via Claude code. For example,
00:02:05I can create an automation where every single day,
00:02:08Claude code takes a look at GitHub and it says, Hey,
00:02:11what are the top trending AI repos for this week for this month,
00:02:16brand new ones that just got released. It's going to take that information.
00:02:20It's going to bring it back inside of Claude code.
00:02:22And it's now going to structure it in a way that I could use for some sort of
00:02:25social media posts. In our example, it will be a carousel alongside that.
00:02:30It will then create a prompt for the images so that we can get images
00:02:35like these,
00:02:36but it has the copy and the information from the GitHub that it just pulled.
00:02:40It's thinking to send all that information to Higgs Field,
00:02:43which will then call on GPT images to, to create all that for us.
00:02:47It then brings it back into Claude code and voila.
00:02:51We just have a completely automated content creation process from there.
00:02:54I can manually review them. I can have Claude code post them,
00:02:57but the point is I can now automate some sort of flow.
00:03:01You could automate even more of it where I'm grabbing information from some
00:03:05outside place. In this case, GitHub,
00:03:07I'm then analyzing the information side of Claude code.
00:03:10I'm taking that analyzed information and I'm turning it into some sort of content
00:03:14prompt, which gets sent to the Higgs Field MCP. And then it brings it all back to me.
00:03:18And I have a nice deliverable and I really haven't even lifted a finger.
00:03:21So that's the real power that is unlocked via this MCP server.
00:03:25So you combine these two things and we are really turning Claude code into a
00:03:29marketing machine. So let's talk about the install. First of all,
00:03:32you are going to need a Higgs Field account.
00:03:34I will have a link to that in the description. If it wasn't clear by now,
00:03:37Higgs Field is a one-stop shop for all things, AI content creation related.
00:03:42Next, we need to install the MCP. And there's really two ways to do this.
00:03:47One, we can go inside claud.ai and just set up a connector.
00:03:51Two, we can just do it inside the terminal via Claude code.
00:03:55Setting up the connector is very easy. You'll just go to claud.ai.
00:03:58You'll head to settings. You will go to connector.
00:04:01You will go to add custom connector. You'll copy this,
00:04:06paste that in there and hit add.
00:04:09You'll then hit connect and it will ask you to log in.
00:04:12And boom, there we go.
00:04:14I can now essentially call any of these audio video tools,
00:04:19image tools that live inside of Higgs Field from Claude itself, the web app.
00:04:23And I can also do it from the desktop app. So inside the chat, I said,
00:04:26use the Higgs Field connector and create an image talking about the power of
00:04:29Claude code plus Higgs Field using GPT image too.
00:04:32And you can see it's calling the model right now.
00:04:36It will ask you for some permissions.
00:04:37You can see the actual prompt it's sending in JSON and we see the image in
00:04:42progress.
00:04:42The nice thing about doing this inside of the actual chat bot
00:04:47application or on your desktop,
00:04:49Claude app is the fact that the images will be generated in line,
00:04:52which means I'm actually going to be able to see them. And remember,
00:04:54there's a lot more we can do than just simply create an image or a video.
00:04:58There's actually a lot going on under the hood with this MCP.
00:05:01You can ask Claude itself to explain it to you,
00:05:04but I also have this guide that I wrote up that I will put inside of the free
00:05:07school community. There will be a link to that in the description.
00:05:10And here's the image it created for us. And as I scroll over it,
00:05:13you can see have a few options. I can recreate it.
00:05:16So essentially just send a prompt there again, I can animate it.
00:05:19So send it to a video editor. I can edit it.
00:05:22And so what it does is it brings up essentially another prompt. In this case,
00:05:26it would send it to nano banana too, but I could change that to, you know,
00:05:29like GPT image too.
00:05:32It links the reference image so it knows what it's editing.
00:05:36And then you just put your prompt in there.
00:05:37So pretty intuitive in terms of how you mess with this inside of
00:05:42the chat application,
00:05:43but let's talk about what I think is the biggest unlock and that's using it
00:05:46inside of Claude code. So to set up the MCP server inside of Claude code,
00:05:50super simple as well,
00:05:51literally just going to use plain language and say set up this MCP server for me.
00:05:56You'll just head back to this page, which is the Higgsfield MCP page.
00:05:59I'll link that as well. We'll do custom connector.
00:06:03You'll paste it in there and it's going to go to work.
00:06:06It's going to set it up for you.
00:06:07And it will also give you a link to go through the same authentication process.
00:06:10You just saw me do on the web app now to confirm it's set up,
00:06:13just do forward slash MCP. And you should see Higgsfield connected.
00:06:17If you don't just have a back and forth with Claude code,
00:06:20and we'll walk you through the steps to make sure it's connected.
00:06:22You may just need to exit cloud code and spin it back up. Now at this point,
00:06:26once the MCP server is connected,
00:06:28we can now use basically any AI content creation model from
00:06:34the terminal through natural language.
00:06:36So if I tell Claude code create me 16 different images
00:06:41with GPT images too, it will do that for you.
00:06:44And it will just download them and you can even tell it, Hey,
00:06:47I want you to bring up the images for me.
00:06:48The only downside with the terminal is obviously we can't see the images inside
00:06:52the terminal itself, but Hey,
00:06:55what we really want to do is we want to figure out how to put this inside of an
00:06:58automation, how to script it.
00:06:59But natural language prompting is simple and exact same process as I
00:07:04showed you on the web app.
00:07:05So let's go through this process.
00:07:07So what we first need is we need to be able to grab information from GitHub and
00:07:11bring it back into cloud code. And you can see that right here.
00:07:13This is an automation that runs every single morning,
00:07:15and it grabs the top 10 trending GitHub repos this week that were
00:07:20created in the last seven days and ranked them based on stars.
00:07:24It gives me a quick description, all this sort of stuff.
00:07:26And I can also see the top five trending over the last month. And again,
00:07:30these are just new ones that are just on the scene.
00:07:32Now to create this for yourself is actually really simple.
00:07:35I have the whole breakdown inside of chase AI plus,
00:07:38but you can literally just prompt cloud code and say, Hey,
00:07:40can you create me an automation that checks GitHub for this every single day?
00:07:44There's no API you need to set up or anything like that.
00:07:46But what I want to do is I want cloud code to take a look at this information and
00:07:51I want it to essentially turn it into a carousel.
00:07:55And if you're not familiar with carousels, they're just posts like this.
00:07:58We'll have some sort of cover page. This one is top five cloud code front end skills,
00:08:02but instead we'll do top five log code, GitHub repos or top five AI repos.
00:08:07We'll see what cloud code comes up with.
00:08:09I'm going to give it the reference images that you see here.
00:08:11So I'll give it the cover page and I will give it some of these, you know,
00:08:15body slides, so to speak,
00:08:16because I'm going to want it to be in the same sort of style and we'll see what
00:08:20it comes up with. So I'll feed it this,
00:08:23I'll feed it the GitHub information and then cloud coach and say, okay,
00:08:27based on everything in this GitHub, based on the reference images,
00:08:31here's what we should think about in terms of coming up with a prompt.
00:08:34So I gave cloud code a pretty simple prompt. I said,
00:08:36take a look at our GitHub trending data for today.
00:08:39What I just showed you inside of obsidian.
00:08:41I want to create a carousel talking about that information.
00:08:44We could call it top five trending AI repos this month or something like that.
00:08:48I want it turned into slides like this cover plus body slides.
00:08:52And then I fed them those four slides or those three slides. And then I just said,
00:08:57let's talk about it before sending it off for content creation.
00:08:59Now what we're doing here is we're sort of manually going through each
00:09:04step. So we already did the content.
00:09:07Now we're going to talk about it before we send it off here to Higgs field.
00:09:10What you would actually want to do after you kind of got this to a place you liked
00:09:15and you've continued doing this over and over is instead of me being all right,
00:09:19now let's do GitHub. Now let's talk about it. Now let's push the prompts.
00:09:23We could actually turn this entire thing into like one large call it.
00:09:27You could call it like Higgs field skill, or really any skill.
00:09:31You want to give it whatever name you want,
00:09:33but you can automate this entire process and you could have something that every
00:09:37single day, you know, right after it hits GitHub in the morning and says, Hey,
00:09:42here's the top 10 repos. Well, why don't we just turn that into a post?
00:09:45You could have a carousel every single day that says, Hey,
00:09:47here are the top 10 trending AI repos for today.
00:09:52You know,
00:09:53that's actually like somewhat relevant content that people would actually like,
00:09:56and this is an easy way to create it. I don't see my idea.
00:10:00So Claude is telling us, Hey, I pulled today's trending files.
00:10:03It's just repeating the top five GitHub repos for this month.
00:10:07It has some thoughts. Claude code is suspicious. Yeah. Yeah. Little sketch.
00:10:13Talks about the hook angle talks about the title
00:10:18as well as the layout and the hero image and all of these things.
00:10:22So here's the prompt I gave it. It talked about using a carousel skill,
00:10:25which is actually an irrelevant skill for this.
00:10:26It has nothing to do with Higgsfield MCP. So I said, ignore that skill.
00:10:30Let's start with the cover slide.
00:10:31So that main slide that everyone's going to see I want it done in the same styles
00:10:35of reference image. I gave you use your copy, use Higgsfield MCP,
00:10:39use GPT images too for variations. And that's kind of wordy,
00:10:43which is totally why you would eventually want to turn this into an actual skill.
00:10:47This is something you're doing a lot.
00:10:48So remember we are trying to create something that looks like this because we are
00:10:53feeding this exact reference image in there.
00:10:55And we're saying do something similar, just change up the copy,
00:10:58change up the title. So it just came back with the four variants.
00:11:01It took about five minutes.
00:11:03Understand the speed at which this is going to happen is going to be totally
00:11:07dependent on the model you use and the quality. So for GPT image two,
00:11:12I was doing high quality two K and I wanted four variations.
00:11:15Another thing you need to think about when you do this is the way the MCP works is
00:11:19you are just sending a request.
00:11:21It's not going to hit you back up when it's done. So you need to tell cloud code,
00:11:25Hey,
00:11:25I want you to pull Higgsfield every 60 seconds,
00:11:2890 seconds to see if it's done and then bring it back to me.
00:11:32So here's the four variations. We got one, two, three, four.
00:11:37Now we pretty much told it do the exact same thing.
00:11:39Just put our new copy on it. And it did exactly that. Actually,
00:11:43I think it looks pretty good. If I wanted to edit something,
00:11:46I'd probably get rid of the list down here.
00:11:48And I'm not sure if I am in love with the chase AI up top,
00:11:52but point being, if you tell it, Hey, use this reference image,
00:11:55it's sending the reference image.
00:11:56It's just like if you were in there doing this manually. And so step one,
00:12:00giving it some sort of reference image that uses a cover, did a solid job.
00:12:04Now let's see how well it does here in terms of these body slides.
00:12:07Now you'll notice here,
00:12:08we're actually grabbing some stuff from the GitHub page itself.
00:12:12So what I'm going to tell cloud code to do here is find your own assets
00:12:17that we could use as reference images that would make sense for the value page.
00:12:21Again,
00:12:21like we have the full power of cloud code here to help improve the quality of the
00:12:26work. So I said, first slide looks good. Let's move into the body slide.
00:12:30Use the first GitHub repo that's up. And then I said, Hey,
00:12:34go ahead and figure out what assets we need from the GitHub itself to be used in
00:12:39this generation. Research that GitHub poll assets as needed,
00:12:42add them to the MCP request as well. So I'm having it do quite a bit here,
00:12:46like going on the internet, find the appropriate repo,
00:12:48grab what you need from there, bring it into your prompt,
00:12:51and then push it to the MCP. And here's what it came back with.
00:12:54And it was giving us the slide for awesome design dot MD for reference.
00:12:58This is what the awesome design that MD GitHub looks like. So
00:13:02pretty close. I think that looks good. And he gave us four variations,
00:13:08all that are slightly different, nothing really popping out,
00:13:12but I think it did a really good job.
00:13:14It also definitely matches the aesthetic that we gave it here in the reference
00:13:19image. So really, really good.
00:13:21And now all we would do is repeat that exact same process for the rest of the
00:13:25slides. And we wouldn't have to go one by one at this point.
00:13:27We could essentially have it rapid fire all of them.
00:13:30And so you could see how easily we can turn something like this into a content
00:13:35machine,
00:13:35especially if we have some resource like daily updated
00:13:41GitHub repo list, this is just like an evergreen content thing that people would
00:13:45be interested in. And then I can do it all from here.
00:13:47I can turn this into one single skill with the MCP server,
00:13:51really powering the creative side. Now,
00:13:53the one thing I will also mention is you don't have to go full
00:13:57AI image generation for all these things.
00:14:00Like you could also do sort of a hybrid style where we use Higgsfield for the
00:14:04cover image,
00:14:05because this is where the aesthetics is really going to play a big role.
00:14:08And then maybe instead you want to go lower costs, lower tokens.
00:14:12And for the sort of body slides you use like HTML or something,
00:14:16you have cloud code, essentially generate that via code lots of ways to approach
00:14:20this. But the big thing is, is we have, we have options now.
00:14:22We have options now with this MCP server.
00:14:24So that's where I'm going to leave you guys for today.
00:14:27All the links for this stuff can be found inside the description.
00:14:30Make sure to check out chase AI.
00:14:32Plus if you want to get your hands on my cloud code masterclass.
00:14:35And as always, I will see you around.
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