mcpField
A
agenthook

agenthook

Local
github.com/AvivK5498Media & Design1Updated 15w ago

About agenthook

agenthook is an API-backed service for generating character-consistent UGC videos, images, and captions. It is aimed at agents and creators who want to reuse one AI influencer across a series, and is available as an MCP server, skill, or CLI.

Key features

  1. 01Create reusable AI influencer characters
  2. 02Generate talking-head videos with speech
  3. 03Generate images from prompts or references
  4. 04Add captions and transcripts to video
  5. 05Enhance prompts before generation

Use cases

  1. 01Produce a video series with one recurring character
  2. 02Generate still images from a prompt or reference
  3. 03Caption a video URL and retrieve its transcript

MCP support

The MCP server exposes AgentHook generation capabilities to MCP clients, including tools for creating influencers, videos, images, and captions.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"avivk5498-agenthook": {
"command": "npx",
"args": [
"-y",
"@getagenthook/mcp"
],
"env": {
"AGENTHOOK_API_KEY": "<AGENTHOOK_API_KEY>",
"AGENTHOOK_API_URL": "<AGENTHOOK_API_URL>"
}
}
}
}
Run commandnpx -y @getagenthook/mcp
Environment variables to set
AGENTHOOK_API_KEYSecretYour AgentHook API key (ah_...)
AGENTHOOK_API_URLOverride the API base (defaults to https://getagenthook.com)

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@getagenthook/mcp1.0.0

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

AgentHook

Your agent makes character-consistent UGC video.

Create one AI influencer, then reuse that same face in every video, image, and caption. Add it as an MCP server, a skill, or a CLI. Works in Claude Code, Cursor, OpenClaw, Hermes, and n8n.

cli mcp skills.sh license

getagenthook.com · Docs · Agent reference


Install

Pick one. All three wrap the same API, so none of them drift.

MCP     add "npx -y @getagenthook/mcp" to your MCP client config
Skill   npx skills add AvivK5498/agenthook --yes
CLI     npm i -g getagenthook

Or paste this to your agent and let it set itself up:

Install the agenthook skill by running: npx skills add AvivK5498/agenthook --yes
Then follow the skill to set up AgentHook and make me a test image.

New accounts get 30 trial credits with no card. That covers a reusable influencer and a test image.

Agents: start here

Read https://getagenthook.com/llms-full.txt first. It is the full API contract, generated from the live schemas. Then:

npm i -g getagenthook          # CLI (command: agenthook)
agenthook auth:login           # prints a link + code for your human
agenthook run make_video --dry-run --prompt "..."   # price it free, then drop --dry-run

What it does

ToolIn, then out
make_videoscript + optional reference images, then a talking-head video with native speech
make_imageprompt or references, then stills
caption_videoany video URL, then burned-in captions + transcript
create_influencerbrief idea + name, then a reusable character: portrait + character sheet, usable via --influencer on every later run

The wedge is create_influencer. Make an influencer once, and your agent asks for that same face by name in every make_video and make_image run after it. One face, a whole series.

--enhance-prompt rewrites a rough one-liner into a director-grade prompt before generating, and --captions returns the video already subtitled in tiktok or movie style. Idea in, post-ready MP4 out, one command. Most platforms leave both steps to you.

Prepaid credits, no subscription. Failed runs refund automatically. Outputs live on permanent CDN URLs.

Create an account

License

CLI and skill are Apache-2.0. The hosted service is a commercial product.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.