The AI UGC generator that lives in your agent.

Brief a UGC video ad in Claude, Cursor or n8n. An MCP server runs the generation and hands the finished file back in the same conversation.

Generate a UGC ad from your agent

Opens wireflow.ai, the tool we build and the one we recommend here.

.mcp.json

{
  "mcpServers": {
    "wireflow": {
      "type": "http",
      "url": "https://www.wireflow.ai/api/mcp"
    }
  }
}

One HTTP endpoint. You approve access on first call, so there is no key to paste.

How it works from your agent

Three steps, and only the first one happens outside the chat window.

Connect the server once
Add the endpoint to your MCP client. You approve a consent screen, and the generation tools show up alongside everything else your agent can already do.
Brief the ad in plain language
Describe the product, the hook and the format. The agent reads the workflow inputs, fills them in, and asks you about anything the brief left open.
Get the file back in the chat
A run returns an execution id. The agent polls it, then hands you the finished video URL, ready to save, review or push into the next step.

claude code

You

Make three UGC ads for the sleep tea. Female creator, mid twenties, kitchen, hook in the first two seconds, vertical.

list_workflows{ "search": "ugc" }

↳ 3 matches. "UGC Ad v4" takes product, script, avatar, aspect.

Agent

UGC Ad v4 takes a product, a script, an avatar and an aspect ratio. I will write three different hooks and run them as three jobs.

run_workflow{ "workflowId": "ugc-ad-v4", "inputs": { "aspect": "9:16", ... } }

↳ executionId exe_8f21c, two more queued

get_execution{ "executionId": "exe_8f21c" }

↳ status completed, output sleep-tea-hook-01.mp4

Agent

Three cuts are done. Hook one opens on the pour, hook two opens on the empty mug, hook three opens on the line about waking at three in the morning. Want a fourth with a different creator?

Tool names are the ones the server really exposes: list_workflows, run_workflow, get_execution.

What you can generate

The same UGC video generator covers the six formats that carry most paid social spend. Pick one in the brief, or ask for all six and compare.

Testimonial to camera

A creator holds the product and talks straight down the lens. The workhorse format for paid social, and the one most briefs start from.

Unboxing and first use

Hands, packaging, the first reaction. Works when the product looks better than it sounds in a script.

Problem and solution

Open on the annoyance the buyer already feels, then cut to the fix. The structure most cold traffic responds to.

Street interview style

A question asked to camera, an answer that carries the claim. Reads as editorial rather than as an ad.

Founder to camera

A single unpolished take explaining why the thing exists. Cheap to produce and strong on retargeting.

Before and after

The state before, the state after, held side by side. Best for products with a visible result.

Why an agent beats clicking around a dashboard

Every other AI UGC tool is a website you visit. That is fine for one ad. It falls apart at the volume real advertisers work at.

Twelve briefs in a spreadsheet become twelve ads in one instruction, rather than twelve rounds of picking an avatar and pasting a script.
The generator sits next to the rest of your stack, so the agent can pull the product copy, write the hooks and run the job without a hand off.
Your prompt is the interface. There is no dashboard layout to learn, and nothing to relearn when the vendor moves a button.
It runs unattended. A schedule in n8n or a cron job can refresh creative weekly while you are asleep.
Everything is text, so the brief, the run and the result can be logged, reviewed and repeated exactly.

This is the whole argument of this site. The models that make UGC are close enough in quality now that the interesting question is not which one renders a face best, it is whether you can call it from where you work.

batch run

$ claude -p "read briefs.csv, generate a 9:16 UGC ad
   for every row, write the video URLs back to the file"

  reading briefs.csv .................. 12 rows
  run_workflow ....................... 12 queued
  get_execution ...................... 12 completed
  writing URLs back to briefs.csv .... done

  12 ads, no dashboard opened.

Where the dashboard tools fit

The AI UGC market is not short of good products. It is short of ones an agent can call.

Tool	What it is good at	Agent access
Arcads	A large library of actor style avatars and a quick script to video path in the browser.	First party MCP server with a fixed set of Arcads actions. Requires an active subscription before an agent can call it.
Creatify	Turns a product page into ad variations, with ad performance tooling around it.	No first party MCP server. A community built wrapper over their REST API exists.
MakeUGC	Avatar led UGC with a wide voice and language range for localised versions.	None documented.
Wireflow	Node based workflows that chain image, video, voice and edit models into one run.	Hosted MCP endpoint. List, run and poll workflows from any MCP client.

Compiled from each vendor's own public documentation in August 2026, not from hands on tests. The highlighted row is our own product, so weigh it accordingly. If a row here is out of date, it is a mistake and not a position.

We are not affiliated with Arcads, Creatify and MakeUGC. Product names are used to describe what those products do. This site is built by the team behind wireflow.ai, so wireflow is our own product and we say so wherever it appears.

Questions people ask about AI UGC generators

What is an AI UGC generator?

It is a tool that produces creator style video ads without filming them. You give it a product, a script or a hook and a format, and it returns a vertical video with a synthetic creator on camera. The output is meant for paid social, where the ad has to look like a person filmed it on a phone rather than like a brand film.

Can I generate UGC ads from Claude or Cursor?

Yes. Add the MCP endpoint to your client, approve access once, and the generation tools appear in the same session you are already working in. You describe the ad in the chat, the agent calls the tools, and the finished video URL comes back in the reply.

What is MCP, and why does it matter for UGC?

MCP is the Model Context Protocol, an open standard that lets an assistant call an outside service directly. For UGC it matters because ad production is repetitive: twenty variants of the same brief, one per hook or per audience. An agent that can call the generator can do all twenty in one pass, which a browser dashboard cannot.

How is this different from Arcads, Creatify or MakeUGC?

Those are good dashboard products. You open a tab, pick an avatar, paste a script, wait, download. The difference here is where the work happens: the generation runs from your agent, so it can be scripted, batched and chained into whatever else you already automate. If you like clicking through a tool, they are fine choices.

Do the videos use real people?

The creators are synthetic. They are generated performers, not filmed actors, and you should disclose AI generated media where the platform or the law asks you to. If you need a specific real person, this is the wrong category of tool.

What comes out at the end?

A downloadable video file, normally 9:16 for TikTok, Reels and Shorts, with 1:1 and 16:9 available for feed and YouTube placements. The agent gets a URL it can hand to you, save to a sheet, or pass into the next step of an automation.

Is there a free way to try it?

You can connect the server and list the available workflows without spending anything, because only the run step costs credits. That is enough to see the tools and the inputs before you generate a single ad.

Point your agent at it and brief the first ad

Connect the MCP endpoint, describe the ad you want, and read the result in the same window. The tools are read only until you ask for a run.