Higgsfield MCP Setup: How to Connect Hermes Agent to Real Video Generation

What Is the Higgsfield MCP Server?

Higgsfield shipped an official MCP server. It is one endpoint, one URL, that you connect to your agent once. After that, your agent can generate video, generate images, cut long footage into vertical clips, reframe aspect ratios, and write the finished file straight into your working directory. It works in Claude, Grok, ChatGPT, Cursor, Claude Code, Open Claw, and Hermes. Hermes matters most here because Hermes is MCP native and runs on a schedule, not just in a chat window you're staring at.

Before this, your agent could write a script or describe a shot in perfect detail, but it handed you a homework assignment at the end. You still had to open a separate app, run the generation yourself, and drag the file into your folder. That last step is what the MCP removes. The agent doesn't just plan the creative anymore, it finishes it.

How Do You Connect Higgsfield to Hermes?

Hermes is MCP native, so the setup is just adding the endpoint to your MCP servers config. There is no plugin marketplace to dig through.

1. Open your Hermes chat.
2. Paste that into your Hermes chat:

Set up Higgsfield for me so I can generate images and videos from here.

1. Install the CLI: run `npm i -g @higgsfield/cli`.
2. Authenticate: run `higgsfield auth login` and complete the sign-in in the browser it opens.
3. Install the companion skills: run `npx skills add higgsfield-ai/skills`.

Once that's done, let me know when it's ready.

3. Hermes returns an authentication link. Click it, log into your Higgsfield account, and authorize the connection.
4. Confirm the install. You'll see Higgsfield listed as installed, authenticated, with a workspace selected.

That's the whole setup. No API key juggling, no separate SDK.

How Do You Connect Higgsfield to Claude or Any Other Agent?

If you're on Claude instead of Hermes, the flow is nearly identical but through the UI:

1. Click the plus icon in Claude.
2. Click Connectors, then Add Connector, then Add Custom Connector.
3. Name it Higgsfield.
4. Paste the endpoint URL: mcp.higgsfield.ai/mcp
5. Click Continue.
6. Pick the recommended options and click Add.
7. A permissions window opens. Click Allow.

You'll see Higgsfield show up under your active connectors, turned on. The whole process takes under 30 seconds. The same steps apply to Cursor, Claude Code, ChatGPT, and Grok, since it's the same MCP endpoint regardless of which agent you plug it into.

What Models and Tools Are Actually Inside the MCP?

The MCP exposes the full Higgsfield model stack, not just one video model. Here's what's in there:

• SED 2.5: the current video generation model. The agent picks this automatically based on your prompt, you don't have to name a model.
• GPT Image 2: for still image generation.
• Clipper: takes a long video and cuts it into vertical shots automatically.
• Reframe: changes aspect ratio without cropping out your subject.
• Virality predictor: scores a clip before you post it.

You never have to tell the agent which model to use. It reads your request, decides SED 2.5 is the right call for a product video, and runs it. You don't see the decision, you just see the output.

How Much Does Each Generation Actually Cost?

Cost is the number that decides whether this is worth building a workflow around. Here's what four real generations cost, in credits and rough USD:

Compare that $7.50 animation to hiring an animator and waiting a week or more for a single intro. Compare the $4 UGC ad to a full production shoot with an actor, a location, and an editor. The math only works if you're using this at volume, one video a month won't justify switching your workflow, but if you're producing content weekly, the per-unit cost drops fast.

Three Real Ways to Use This, Not Just a Demo Prompt

A single product shot proves the mechanic works. It's not a business. Here are three things worth actually running.

1. UGC ads. Prompt: take a product shot and turn it into a 15-second UGC-style ad, someone holding it, talking to camera, natural lighting, like a real customer review. The output kept the product true to dimension, same bottle shape, same proportions. The weak point was the actor's voice, it sounds AI generated. If you're using this for a real brand, plan to swap the voice track or run it through a voice model afterward to differentiate from every other UGC ad using the same default voice.

2. YouTube intro animations. Instead of a one-shot prompt, ask the agent to scope the idea with you first: what's the video about, what visual style, what tone. Let it ask you questions before generating. It will offer a concept, give you a first still, and let you reject the style if it's wrong. Once you land on a style you like, it generates a batch of stills, then the full shot. The failure mode here is logos: if you mention a brand name like Higgsfield or Hermes, the agent draws its own version of the logo from scratch instead of using the real one. Build a brand asset folder with your actual logos and reference images and feed those in, don't rely on the model's memory of what your logo looks like.

3. Website building. Ask the agent to scope the build first: layout, color palette, CTA placement, before it generates anything. A prompt like "build a responsive site in white and black with a red accent and a strong CTA" produced a working hero section with scroll animations in about five minutes, for roughly $2 in credits. This is the cheapest of the four use cases and the fastest to iterate on since you can ask for small changes and regenerate quickly.

Why Hermes Changes This More Than Claude Does

Claude is a chat window. It only runs when you're sitting in front of it typing prompts. Hermes runs on a machine, on a schedule, whether you're awake or not.

That difference matters because a prompt is a one-time instruction, but a skill is a repeatable process. In Hermes you can turn a prompt like "generate three intro animation options in my brand style" into a skill that stores your brand colors, your preferred tone, and the folder your editor pulls footage from. Then you point a cron job at that skill. Every time you film a new video, Hermes reads the title and the transcript, generates three intro options automatically, and drops them in your editing folder without you typing a single prompt.

This is the actual shift. It's not that your agent has a new tool. It's that your agent can now finish the job instead of handing the last mile back to you.

What Mistakes to Expect the First Time You Run This

• Voice sounds synthetic on UGC ads. Plan to swap it or accept it, since most UGC ads running right now sound similar anyway.
• Logos get reinvented. The model draws its own version of any brand logo you mention by name. Feed it the actual image file instead.
• Not every generated shot is usable. Out of four stills for an intro animation, expect to keep two and regenerate the rest.
• You still need to pick a model implicitly. The agent chooses SED 2.5 or another model based on your wording, so vague prompts get vague model choices. Be specific about format, length, and style up front.

What to Do Next

If you want to test this without committing to a workflow, connect the MCP to Claude first since the UI setup takes 30 seconds and gives you a feel for credit costs before you build anything automated. Once you know what a generation actually costs for your use case, move the same endpoint into Hermes and turn your best prompt into a skill. Then attach a cron job so it runs every time you publish new content, instead of every time you remember to ask for it.