# mcp-seedance

> Use this tool when you need to generate concise descriptions for AI agents, solving problems of unclear or incomplete information about tools and skills. It takes in tool names, descriptions, tags, categories, and capabilities as inputs, and outputs optimized descriptions for search and understanding. Utilize mcp-seedance in contexts where AI agents require precise and relevant information to function effectively.

Canonical page: https://skillsregistry.net/skills/acedatacloud-mcp-mcp-seedance  
JSON: https://api.skillsregistry.net/v1/skills/acedatacloud-mcp-mcp-seedance

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/acedatacloud-mcp/mcp-seedance)

## 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": "acedatacloud-mcp-mcp-seedance"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/acedatacloud-mcp-mcp-seedance` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/acedatacloud-mcp-mcp-seedance/pull`

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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