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Render videos from VideoJSON using iLoveVideoEditor templates.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "com.ilovevideoeditor/mcp-server" MCP server from askskill: Run: claude mcp add 'com-ilovevideoeditor-mcp-server' -- npx -y @ilovevideoeditor/mcp-server
Use com.ilovevideoeditor/mcp-server to render this VideoJSON into a video and apply a suitable template.
A downloadable rendered video output.
Convert this copy into VideoJSON and render it as a promo video with this MCP tool.
A finished promo video based on a template.
Marketers can use it to turn copy, selling points, or campaign info into template-based videos fast. It suits high-volume, repeatable production.
Designers can render multiple video versions from VideoJSON with consistent templates and styles. It reduces repetitive manual editing.
Developers can integrate it into automated workflows so apps generate and render videos via API. It is useful for programmatic video output.
It renders VideoJSON into videos via the iLoveVideoEditor API and supports 249+ templates. It is useful for quickly producing template-based videos.
Its main input is VideoJSON. Based on the description, it uses that structured content to render the video.
Edit, merge, overlay, and convert videos through ffmpeg-powered MCP tools.
Let AI agents perform headless video editing, rendering, QC, and search.
Create video compositions and VFX programmatically through MCP for AI-directed production.
Segment video subjects by text prompt and add behind-subject compositing effects.
Generate AI videos through MCP using Luma Dream Machine.
Automates video editing with media analysis, CapCut drafts, and Premiere control.