Schema | Sora2 MCP

Sora2 MCP

Describes the environment variables required to run the server.

Name	Required	Description	Default
`MCP_NAME`	No	Server name override	sora2-mcp
`OPENAI_API_KEY`	No	Your OpenAI API key with Sora access (alternative to SORA2_MCP_API_KEY)
`SORA2_MCP_API_KEY`	No	Your OpenAI API key with Sora access

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{}

Functions exposed to the LLM to take actions

Name	Description
create_videoA	Start a new video generation job with Sora. Returns a job object with status. Poll get_video_status or use webhooks to monitor completion.
get_video_statusA	Retrieve the current status and progress of a video generation job. Status values: queued, in_progress, completed, failed.
download_videoA	Download the completed video file (MP4), thumbnail (WebP), or spritesheet (JPEG). Only works when status is 'completed'. Returns base64-encoded binary data.
list_videosA	List all video jobs with pagination support. Returns metadata for enumeration, dashboards, or housekeeping.
delete_videoA	Delete a video from OpenAI's storage. This action is permanent.
remix_videoA	Create a new video by remixing an existing completed video with targeted adjustments. Preserves structure and composition while applying modifications.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/nanameru/Sora2-MCP'

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