Short Video Agent Kit

by davidmosiah

267 downloads Not rated yet

About

<!-- delx header v2 --> <h1 align="center">Short Video Agent Kit</h1> <div align="center"> <img src="assets/banner.png" alt="Short Video Agent Kit" width="85%" /> </div> <h3 align="center"> One agent-first CLI + MCP for short-form AI video.<br>Sora · Veo · xAI · Seedance &mdash; dry-run by default, paid generation…

Explore

- Provider-neutral interface supporting OpenAI Sora, Gemini Veo, xAI/Grok, and Seedance.
- Dry-run by default — returns the exact payload plan without spending credits.
- API keys are detected but never returned by any tool.
- Paid generation requires explicit opt-in via --live or environment variable.
- Built-in privacy audit tool for prompt and output boundaries.
- Outputs are written to user-controlled local paths.

Setting up with Highlight

This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:

  1. Download and install Highlight from highlightai.com/download
  2. Navigate to the plugins tab and select "Add Custom Plugin"
  3. Configure the plugin with the settings below
    Plugin Name Short Video Agent Kit
    Command (node, npx, python, etc.)

    Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.

  4. Enable "Start Automatically" if you want the plugin to start when Highlight launches

From the repository

npm install -g short-video-agent-kit

Or run directly:

npm exec --yes --package=short-video-agent-kit -- short-video-agent-kit doctor

Claude Desktop / Cursor

Paste into your MCP client config file to install this server.

{
    "mcpServers": {
        "short video agent kit": {
            "short-video": {
                "command": "npx",
                "args": [
                    "-y",
                    "short-video-agent-kit"
                ]
            }
        }
    }
}

McpServers

{
    "short-video": {
        "command": "npx",
        "args": [
            "-y",
            "short-video-agent-kit"
        ]
    }
}

<!-- delx header v2 -->
<h1 align="center">Short Video Agent Kit</h1>

<div align="center">
Short Video Agent Kit
</div>

<h3 align="center">
One agent-first CLI + MCP for short-form AI video.<br>Sora · Veo · xAI · Seedance &mdash; dry-run by default, paid generation when explicitly enabled.
</h3>

<p align="center">
<a href="https://www.npmjs.com/package/short-video-agent-kit">npm version</a>
<a href="https://www.npmjs.com/package/short-video-agent-kit">npm downloads</a>
<a href="LICENSE">License MIT</a>
<a href="https://modelcontextprotocol.io">Built for MCP</a>
</p>

<p align="center">
<a href="https://github.com/davidmosiah/short-video-agent-kit/stargazers">GitHub stars</a>
<a href="https://github.com/davidmosiah/short-video-agent-kit/actions/workflows/ci.yml">CI status</a>
<a href="https://github.com/davidmosiah">Part of the Delx agent stack</a>
<a href="https://github.com/davidmosiah/short-video-agent-kit">Category</a>
</p>

> ⭐ If this agent-first tool helps your workflow, please star the repo. Stars make this tooling easier for other builders to discover and help Delx keep shipping open infrastructure.<br>
> 🧱 Part of the Delx agent stack &mdash; 15 open-source MCP servers across body, reach and coordination.

---

<!-- /delx header v2 -->

Provider-neutral short-form AI video toolkit for agents. It gives Codex, Claude, Cursor, Hermes, OpenClaw and other MCP clients one interface for building dry-run payloads and, when explicitly enabled, generating vertical video through Sora/OpenAI, Gemini Veo, xAI/Grok and Seedance/PiAPI-style providers.

Use it when an agent needs one safe interface for prompt-to-video payload validation and optional paid generation across multiple providers.

Why It Is Agent-First

Video generation can be expensive and prompt-sensitive. This package makes agents start with safe steps:

- inspect provider readiness
- return privacy boundaries
- build payloads without spending credits
- require --live or SHORT_VIDEO_DRY_RUN=false before provider calls
- keep prompts and outputs in local user-controlled paths

Install

npm install -g short-video-agent-kit

Or run directly:

npm exec --yes --package=short-video-agent-kit -- short-video-agent-kit doctor

Quickstart

No API key needed to try it — generation is dry-run by default, so the kit returns the exact provider-neutral plan it would send without spending a credit.

Build a Sora plan for an 8-second vertical teaser:

short-video-agent-kit generate \
  --provider openai_sora \
  --prompt "Vertical 8-second product teaser for a minimalist water bottle, soft studio light, slow dolly-in" \
  --output ./output/teaser.mp4

Real output (no provider call, no credits spent):

{
  "ok": true,
  "dry_run": true,
  "next_step": "Pass --live or set SHORT_VIDEO_DRY_RUN=false to call the provider API.",
  "provider": "openai_sora",
  "endpoint": "POST /v1/videos",
  "payload": {
    "model": "sora-2",
    "prompt": "Vertical 8-second product teaser for a minimalist water bottle, soft studio light, slow dolly-in",
    "seconds": "8",
    "size": "720x1280"
  }
}

Same prompt, different provider — the plan re-targets the endpoint and parameter shape for you. payload returns just the plan (no dry_run wrapper):

short-video-agent-kit payload --provider gemini_veo --prompt "Same teaser, 9:16, cinematic"
{
  "provider": "gemini_veo",
  "endpoint": "POST /models/{model}:predictLongRunning",
  "payload": {
    "instances": [
      {
        "prompt": "Same teaser, 9:16, cinematic"
      }
    ],
    "parameters": {
      "aspectRatio": "9:16",
      "durationSeconds": 8
    }
  }
}

Check which providers are wired up (keys are detected, never printed):

short-video-agent-kit doctor
{
  "ok": false,
  "dry_run": true,
  "providers": {
    "openai_sora": { "configured": false, "env_keys": ["OPENAI_API_KEY"], "models": ["sora-2"] },
    "gemini_veo": { "configured": false, "env_keys": ["GEMINI_API_KEY", "GOOGLE_API_KEY"], "models": ["veo-3.1-fast-generate-preview"] },
    "xai_grok": { "configured": false, "env_keys": ["XAI_API_KEY"], "models": ["grok-imagine-video", "grok-imagine-image"] },
    "seedance_piapi": { "configured": false, "env_keys": ["PIAPI_KEY", "SEEDANCE_API_KEY"], "models": ["seedance-2-fast-preview"] }
  },
  "output_dir": "./output",
  "next_steps": [
    "Set one provider key: OPENAI_API_KEY, GEMINI_API_KEY, XAI_API_KEY or PIAPI_KEY."
  ]
}

When you are ready to actually render, set a provider key and re-run generate with --live (or SHORT_VIDEO_DRY_RUN=false).

CLI

short-video-agent-kit manifest --client codex
short-video-agent-kit doctor
short-video-agent-kit privacy-audit
short-video-agent-kit payload --provider gemini_veo --prompt-file prompt.txt
short-video-agent-kit generate --provider openai_sora --prompt "Vertical product teaser" --output ./output/teaser.mp4
short-video-agent-kit generate --provider openai_sora --prompt-file prompt.txt --output ./output/teaser.mp4 --live

Supported providers:

- openai_sora
- gemini_veo
- xai_grok
- seedance_piapi

MCP

short-video-mcp

HTTP transport:

SHORT_VIDEO_MCP_TRANSPORT=http short-video-mcp

Hermes-style config:

mcp_servers:
  short_video:
    command: npx
    args: ["-y", "short-video-agent-kit"]
    sampling:
      enabled: false

Recommended first calls:

1. short_video_connection_status
2. short_video_privacy_audit
3. short_video_build_payload
4. short_video_generate

Agent Surfaces

| Tool | Purpose |
|---|---|
| short_video_agent_manifest | Install/runtime guidance for Codex, Claude, Cursor, Hermes and OpenClaw |
| short_video_connection_status | Provider readiness without API keys |
| short_video_privacy_audit | Prompt, output and reference-asset boundaries |
| short_video_build_payload | Provider-specific payload without paid generation |
| short_video_generate | Dry-run by default, live only when explicitly requested |

Copy-Paste Agent Prompt

Use short-video-agent-kit. First call short_video_connection_status and short_video_privacy_audit.
Build the payload before generation. Only set live=true if I explicitly confirm a paid provider call.

Configuration

Copy .env.example to .env and fill only the provider keys you plan to use. .env, output/ and .agent-data/ are ignored by Git.

Safety Model

- Dry-run is the default.
- API keys are never returned by tools.
- Paid generation requires --live, MCP live=true, or SHORT_VIDEO_DRY_RUN=false.
- Reference images must be user-owned or licensed.
- Outputs are written to local paths controlled by the user.

Development

npm install
npm test
npm run check

---

📧 Contact & Support

- 📨 [email protected] — general questions, integration help, partnerships
- 🐛 Bug reports / feature requests — GitHub Issues
- 🐦 Updates — @delx369 on X
- 🌐 Site — wellness.delx.ai

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