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Programmatically generate videos with scenes, elements, templates, and status polling.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "json2video MCP Server" yet — see the docs or source repo.
Use the json2video MCP Server to create a 30-second marketing video with brand intro, three product benefit scenes, and a closing CTA, then return the job status.
A video JSON payload, job ID, and polling status are returned.
Please list available templates and create a new video by replacing the title, images, and copy in one template.
Template selection, updated configuration, and creation result are returned.
Please poll the video job I just created until it succeeds or fails, and summarize the current status.
Final status, failure reason, or download info is returned.
Analyze videos with frame extraction, scene detection, and metadata retrieval.
Compress and restore JSON with major token savings for efficient AI workflows.
Generate, validate, format, and manipulate JSON data structures easily.
Generate, monitor, and download AI videos through Seedance 2.0 via MCP.
Read JSON files and query target data with JSONPath expressions.
Extract video frames and metadata for LLM-powered video analysis workflows.