The MCP server for iLoveVideoEditor renders videos from VideoJSON using 249+ templates. It exposes a Model Context Protocol (MCP) endpoint that lets AI agents render videos by listing templates, filling variables, submitting JSON-to-MP4 render jobs, polling status, and retrieving download URLs via the iLoveVideoEditor API.
🛠️ Key Features
- Renders videos from VideoJSON with 249+ templates
- MCP-compliant server for AI agents and MCP clients
- Template listing, variable substitution, and job submission
- Polls render status and returns download URLs
- API-key authenticated access and dashboard-based setup
🚀 Use Cases
- Integrate video rendering into AI agent workflows
- Automate video generation from structured data
- Programmatic batch rendering and retrieval of outputs
⚡ Developer Benefits
- Clear MCP integration path for video rendering services
- JSON-to-MP4 render workflow with status polling
- Readme excerpts and quick start guidance for onboarding API keys
⚠️ Limitations
- Limited to iLoveVideoEditor templates and VideoJSON compatibility as described
- Requires API key setup via iLoveVideoEditor dashboard
- Documentation scope based on available readme excerpt; features may evolve