# io.github.AceDataCloud/mcp-sora

> Use this tool when you need to generate AI videos with OpenAI Sora, as it provides a server solution for seamless video production. It solves problems related to automated video creation, such as processing and rendering, by handling the backend infrastructure. The tool takes input parameters for video generation and outputs rendered video files, ideal for use cases requiring dynamic video content creation.

Canonical page: https://skillsregistry.net/skills/io-github-acedatacloud-mcp-sora  
JSON: https://api.skillsregistry.net/v1/skills/io-github-acedatacloud-mcp-sora

## Description

MCP server for OpenAI Sora AI video generation

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 2026.3.19.7
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.AceDataCloud%2Fmcp-sora)
- **Repository:** <https://github.com/AceDataCloud/SoraMCP>

## Use it

MCP endpoint published by the skill: `https://sora.mcp.acedata.cloud/mcp`

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": "io-github-acedatacloud-mcp-sora"
    }
  }
}
```

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