# mcp-seedream-pro

> Use this tool when you need to analyze and process complex data, solve problems, or automate tasks, as it provides a general-purpose interface for inputting data and receiving output. It helps solve use cases such as data analysis, automation, and problem-solving by taking in various inputs and generating relevant outputs. This tool is ideal for situations where a flexible and adaptable solution is required to tackle a wide range of tasks and challenges.

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

## 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-seedream-pro)

## 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-seedream-pro"
    }
  }
}
```

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