MCP.so
Sign In
S

Short Video Agent Kit

@davidmosiah

Repository

About Short Video Agent Kit

No overview available yet

Config

Add this server to your MCP-compatible client using the configuration below.

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

Tools

No tools detected

Fetch the live tool list by running this server in a temporary sandbox using the button above.

Overview

What is Short Video Agent Kit?

A provider-neutral short-form AI video toolkit for agents. It gives Codex, Claude, Cursor, Hermes, OpenClaw and other MCP clients a single 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. It is designed for anyone building agent workflows that need safe, credit-free prompt-to-video payload validation before optional paid generation.

How to use Short Video Agent Kit?

Install globally via npm (npm install -g short-video-agent-kit) or run directly with npx. Use the CLI commands doctor, generate, payload, manifest, privacy-audit to inspect providers, build plans, and generate video. Dry-run is the default; pass --live or set SHORT_VIDEO_DRY_RUN=false to enable paid provider calls. The package also ships as an MCP server (short-video-mcp) supporting stdio and HTTP transports. Configure provider API keys in a .env file.

Key features of Short Video Agent Kit

  • 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.

Use cases of Short Video Agent Kit

  • Building and validating video payloads across multiple AI video providers without spending credits.
  • Comparing provider-specific parameter shapes for the same prompt before committing to one.
  • Safely integrating short-form video generation into agent workflows with dry-run safety.
  • Generating vertical short-form teasers and product videos through a single agent interface.

FAQ from Short Video Agent Kit

Which video providers are supported?

OpenAI Sora (openai_sora), Gemini Veo (gemini_veo), xAI/Grok (xai_grok), and Seedance/PiAPI (seedance_piapi).

Is an API key required to try it?

No. Generation is dry-run by default, so the kit returns the exact payload plan without making any provider call or spending credits.

How do I enable actual paid generation?

Pass the --live flag to the CLI, set live=true in the MCP tool call, or set the environment variable SHORT_VIDEO_DRY_RUN=false.

How are API keys handled?

Keys are detected from environment variables (or a .env file) and checked for readiness via short-video-agent-kit doctor, but they are never printed or returned by any tool.

What transports does the MCP server support?

The MCP server (short-video-mcp) uses stdio by default. Set SHORT_VIDEO_MCP_TRANSPORT=http to enable HTTP transport.

Frequently asked questions

Which video providers are supported?

OpenAI Sora (`openai_sora`), Gemini Veo (`gemini_veo`), xAI/Grok (`xai_grok`), and Seedance/PiAPI (`seedance_piapi`).

Is an API key required to try it?

No. Generation is dry-run by default, so the kit returns the exact payload plan without making any provider call or spending credits.

How do I enable actual paid generation?

Pass the `--live` flag to the CLI, set `live=true` in the MCP tool call, or set the environment variable `SHORT_VIDEO_DRY_RUN=false`.

How are API keys handled?

Keys are detected from environment variables (or a `.env` file) and checked for readiness via `short-video-agent-kit doctor`, but they are never printed or returned by any tool.

What transports does the MCP server support?

The MCP server (`short-video-mcp`) uses stdio by default. Set `SHORT_VIDEO_MCP_TRANSPORT=http` to enable HTTP transport.

Comments

Basic information

Category

AI & Agents

Transports

stdio

Author

davidmosiah

Submitted by

David Batista

More AI & Agents MCP servers

MCP Server - Remote MacOs Use

baryhuang

The only general AI agent that does NOT requires extra API key, giving you full control on your local and remote MacOs from Claude Desktop App

487

GetIntel

tarang8811

Public docs + tool manifest for the GetIntel MCP connector (app.getintel.ai)

Open Multi-Agent Canvas

CopilotKit

The open-source multi-agent chat interface that lets you manage multiple agents in one dynamic conversation and add MCP servers for deep research

507

欢迎来到 智言平台

Shy2593666979

AgentChat 是一个基于 LLM 的智能体交流平台，内置默认 Agent 并支持用户自定义 Agent。通过多轮对话和任务协作，Agent 可以理解并协助完成复杂任务。项目集成 LangChain、Function Call、MCP 协议、RAG、Memory、HITL、Skill、Milvus 和 ElasticSearch 等技术，实现高效的知识检索与工具调用，使用 FastAPI 构建高性能后端服务。

797

MCP Client for Ollama (ollmcp)

jonigl

Harness the power of local LLMs with this TUI MCP Client for Ollama. Featuring all core MCP primitives (tools, prompts, resources), agent mode, multi-server, model switching, streaming responses, human-in-the-loop, thinking mode, model params config, system prompts, and saved pre

768