# Seedance Video via Polza.ai

> Use this tool when you need to generate videos from text or images, leveraging the Bytedance Seedance model through the Polza.ai API platform. It solves content creation problems by automating video production, taking in text or image inputs and producing video outputs. Ideal for use cases requiring dynamic visual content, such as social media, advertising, or educational materials, with an interface that requires a Polza.ai API key for access.

Canonical page: https://skillsregistry.net/skills/ivanantigravity-lgtm-seedance-polza  
JSON: https://api.skillsregistry.net/v1/skills/ivanantigravity-lgtm-seedance-polza

## Description

This community MCP server enables text-to-video and image-to-video generation by routing requests to the Bytedance Seedance model through the Polza.ai API platform. It provides four tools for initiating generation, checking status, polling until completion, and accessing a model guide. A Polza.ai API key is required.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-04-29

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/ivanantigravity-lgtm-seedance-polza)
- **Repository:** <https://github.com/ivanantigravity-lgtm/seedance-polza-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ivanantigravity-lgtm-seedance-polza"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ivanantigravity-lgtm-seedance-polza` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ivanantigravity-lgtm-seedance-polza/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
