Mcp Sora
Generate and iterate OpenAI Sora videos from your agent while you build demos, ads, and social clips for a growing product.
Overview
io.github.AceDataCloud/mcp-sora is an MCP server for the Grow phase that invokes OpenAI Sora AI video generation for your agent through Ace Data Cloud.
What is this MCP server?
- MCP access to OpenAI Sora AI video generation via Ace Data Cloud
- Hosted sora.mcp.acedata.cloud/mcp and local stdio package mcp-sora
- ACEDATACLOUD_API_TOKEN required; version 2026.6.9.4 on PyPI
- GitHub repository SoraMCP with published server schema 2025-12-11
- Enables agent-driven video prompt loops alongside copy and landing updates
- 2 deployment modes: streamable-http and stdio
- Repository github.com/AceDataCloud/SoraMCP
Community signal: 1 GitHub stars.
What problem does it solve?
Content-led growth slows when video experiments require leaving the agent environment for a separate Sora or studio UI.
Who is it for?
Indie founders producing lightweight video marketing and product demos with agent-orchestrated Sora calls.
Skip if: Teams needing frame-accurate editing, offline rendering pipelines, or video generation without Ace Data Cloud billing and tokens.
What do I get? / Deliverables
After setup, your agent can trigger Sora video generation inside workflows so scripts, prompts, and assets stay versioned with your product work.
- Agent-invoked Sora video generation requests and responses
- Working MCP registration to SoraMCP remote or stdio
- Reusable video prompt patterns in your grow-phase content workflow
Recommended MCP Servers
Journey fit
Grow is the canonical shelf because AI video is mainly a content and distribution accelerator after the product exists, not the core build artifact. Content subphase matches scripted promos, tutorial clips, and short-form video experiments that compound awareness.
How it compares
MCP media generation bridge, not a CapCut-style editing skill or local ffmpeg automation pack.
Common Questions / FAQ
Who is io.github.AceDataCloud/mcp-sora for?
Solo builders and small teams who use AI agents to create Sora videos for marketing, demos, and social content while shipping product updates.
When should I use io.github.AceDataCloud/mcp-sora?
Use it in Grow when you are testing video hooks, launch teasers, or feature walkthroughs and want generation callable from Claude Code or Cursor.
How do I add io.github.AceDataCloud/mcp-sora to my agent?
Set ACEDATACLOUD_API_TOKEN and add remote MCP URL https://sora.mcp.acedata.cloud/mcp or configure stdio with uvx mcp-sora in your client.