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@ilovevideoeditor/mcp-server
Advanced tools
MCP Server for iLoveVideoEditor — exposes video rendering tools to AI agents
Model Context Protocol (MCP) server that exposes iLoveVideoEditor video rendering capabilities to AI agents.
Set these environment variables before starting the server:
| Variable | Default | Description |
|---|---|---|
VF_API_BASE_URL | https://api.ilovevideoeditor.com | iLoveVideoEditor API base URL |
VF_API_KEY | — | Required. Your iLoveVideoEditor API key (x-api-key) |
Example:
export VF_API_BASE_URL=https://api.ilovevideoeditor.com
export VF_API_KEY=vf_live_xxx
node dist/server.js
| Tool | Description |
|---|---|
ilovevideoeditor_list_templates | List available templates |
ilovevideoeditor_get_template | Get template details and variable schema |
ilovevideoeditor_render_json | Submit raw VideoJSON for rendering |
ilovevideoeditor_render_template | Render from a named template + variables |
ilovevideoeditor_get_render_status | Poll render job status |
ilovevideoeditor_get_download_url | Get signed download URL |
lovable_good_morning — Warm morning greetinglovable_apology — Sincere / playful / dramatic apologylovable_memory_montage — Photo montage for milestones# Build
npm run build
# Run (stdio transport for MCP)
VF_API_KEY=your_key npm start
# Dev
VF_API_KEY=your_key npm run dev
Add to your MCP client config:
{
"mcpServers": {
"ilovevideoeditor": {
"command": "node",
"args": ["/path/to/integrations/mcp-server/dist/server.js"],
"env": {
"VF_API_KEY": "vf_live_xxx",
"VF_API_BASE_URL": "https://api.ilovevideoeditor.com"
}
}
}
}
FAQs
MCP Server for iLoveVideoEditor — exposes video rendering tools to AI agents
We found that @ilovevideoeditor/mcp-server demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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