Schema | Omni-Video Studio MCP

Omni-Video Studio MCP

Describes the environment variables required to run the server.

Name	Required	Description	Default
`ELEVENLABS_API_KEY`	Yes	Required for high-fidelity word-level transcription mapping during ingestion.

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`	{ "listChanged": false }
`prompts`	{ "listChanged": false }
`resources`	{ "subscribe": false, "listChanged": false }
`experimental`	{}

Functions exposed to the LLM to take actions

Name	Description
omni_video_ingestA	Ingests a directory of video files, generates word-level audio transcripts, and constructs a semantic Visual Scene Graph for B-Roll searching. Returns the path to the generated project metadata.
omni_video_previewA	Generates a filmstrip PNG of the specified video segment. Useful for visually verifying cut boundaries or B-roll placement. Returns the absolute path to the generated PNG file.
omni_video_generate_vfxA	Renders motion graphics (e.g., lower thirds, titles) using Hyperframes. Returns the path to the rendered transparent .mov or .webm file.
omni_video_renderA	Orchestrates the final render pipeline: applies EDL cuts, overlay graphics, LUT color grading, audio restoration, and subtitle burning. Returns the path to the final rendered video.

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/Mallet-Builds/omni-video-mcp'

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