Short Video Agent Kit

Short Video Agent Kit

One agent-first CLI + MCP for short-form AI video.
Sora · Veo · xAI · Seedance — dry-run by default, paid generation when explicitly enabled.

⭐ 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.
🧱 Part of the Delx agent stack — 15 open-source MCP servers across body, reach and coordination.

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HTTP (v2 stateless)

Default is stdio. Optional Streamable HTTP — no session id, JSON responses, loopback only:

npx -y -p short-video-agent-kit short-video-mcp --http
# GET  http://127.0.0.1:3033/health
# POST http://127.0.0.1:3033/mcp   (sessionless)

Env: SHORT_VIDEO_MCP_HOST, SHORT_VIDEO_MCP_PORT, SHORT_VIDEO_MCP_TRANSPORT=http.

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

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📧 Contact & Support

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