Com.ilovevideoeditor MCP Server

Model Context Protocol (MCP) server that lets AI agents (Claude, ChatGPT, Cursor, and any MCP client) render videos with iLoveVideoEditor: list motion-design templates, fill in variables, submit…

Local serverstdioApache-2.0

What is the Com.ilovevideoeditor MCP Server?

ilovevideoeditor-mcp is an MCP project maintained in the ilovevideoeditor/mcp-server repository. The maintainer describes its purpose as “Model Context Protocol (MCP) server that lets AI agents (Claude, ChatGPT, Cursor, and any MCP client) render videos with iLoveVideoEditor: list motion-design templates, fill in…”. Read the project documentation for the complete scope.

Installation

The documented npm package is @ilovevideoeditor/mcp-server. The configuration below comes from the maintainer’s example; adapt its paths and account values to your environment.

Configuration values

The example declares VF_API_KEY. Secret-looking values have been replaced with placeholders. Required and optional labels are shown only when the documentation states them.

Source

Project documentation · Repository · Discovery listing. This profile records the public documentation checked on 2026-10-08.

Recorded tools

Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.

ToolWhat it does
ilovevideoeditor_list_templatesList available templates
ilovevideoeditor_get_templateGet template details and variable schema
ilovevideoeditor_render_jsonSubmit raw VideoJSON for rendering
ilovevideoeditor_render_templateRender from a named template + variables
ilovevideoeditor_get_render_statusPoll render job status
ilovevideoeditor_get_download_urlGet signed download URL

How to install the Com.ilovevideoeditor MCP Server

{
  "mcpServers": {
    "ilovevideoeditor": {
      "command": "npx",
      "args": [
        "-y",
        "@ilovevideoeditor/mcp-server"
      ],
      "env": {
        "VF_API_KEY": "YOUR_VF_API_KEY"
      }
    }
  }
}

From the project documentation. Replace placeholders and example paths before connecting.

Configuration

VariableDescriptionRequired
VF_API_KEYDeclared in the maintainer’s client configuration.Yes