Vlexor MCP Server

Vlexor MCP Server

Enables MCP agents to drive AI video editing on local footage, game-asset generation, and motion-graphics production via Vlexor's API, with all video rendering done entirely locally.

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README

@velxor/mcp

License: MIT

An MCP (Model Context Protocol) server that lets Claude Code, Cursor, and other MCP-capable agents drive all three Vlexor pillars — AI video editing, game-asset generation, and motion-graphics production — directly from a coding session.

Video editing runs on your own footage: your raw video never leaves your machine — only the text of your instructions (and an optional transcript) is sent to Vlexor to generate the edit plan, which is compiled to a real FFmpeg command and rendered entirely locally. Asset generation and motion graphics render server-side (there's no local footage to protect) and return a signed download URL — optionally saved straight to a local path.

Setup

  1. Generate a personal API key at Vlexor → Settings → MCP & API.
  2. Install FFmpeg if you don't already have it (brew install ffmpeg on macOS, or point VLEXOR_FFMPEG_DIR at a folder that has ffmpeg/ffprobe).
  3. Add this to your MCP client's config:
{
  "mcpServers": {
    "vlexor": {
      "command": "npx",
      "args": ["-y", "@velxor/mcp"],
      "env": { "VLEXOR_API_KEY": "vlx_…" }
    }
  }
}

Tools

Pillar 1 — video editing (renders locally; footage never uploaded):

  • probe_media — read a local video's duration, resolution, fps, codec.
  • generate_edit_plan — natural-language instruction → structured edit plan (calls the real Vlexor Command Engine; counts against your plan's usage).
  • compile_edit_plan — edit plan → a real FFmpeg command, computed entirely locally.
  • render — run the compiled command locally to produce the final video.

A typical agent flow: probe_mediagenerate_edit_plan → (review the steps) → compile_edit_plan → (review the FFmpeg command) → render.

Pillar 2 — asset generation (renders server-side):

  • generate_game_asset — prompt → a texture, 2D character, sprite sheet, 3D model (.glb), sound effect, music track, parallax background, or character turnaround. Returns a signed download URL; pass savePath to also write the file locally.

Pillar 3 — motion graphics (renders server-side):

  • generate_motion_graphic — a short creative brief → a rendered kinetic-title .mp4 (announcement/promo card). Returns a signed download URL; pass savePath to also write the file locally.

Environment variables

Variable Required Default Purpose
VLEXOR_API_KEY yes Personal API key from Settings → MCP & API
VLEXOR_API_BASE no https://vlexor.app Override for self-hosted/dev instances
VLEXOR_FFMPEG_DIR no (system PATH) Folder containing ffmpeg/ffprobe, if not on PATH

About this repository

This package is the thin integration layer that connects an MCP client to Vlexor's real, hosted API — every tool call here is a plain, inspectable HTTP request (you can read exactly what leaves your machine in src/api-client.ts). It's open so agent developers piping their API key through it can verify that for themselves.

The Vlexor platform itself — the editing engine, the AI prompt design, the asset/motion-graphics generation pipelines — is closed-source. A couple of this package's imports (@velxor/engine's FFmpeg-plan compiler, @velxor/shared's type definitions) come from that private codebase and aren't published separately, so this repo won't pnpm install/build standalone — it's meant to be read, and run via the pre-built npm package (npx -y @velxor/mcp), not compiled from this checkout.

Issues and PRs on the MCP integration layer itself (tool schemas, error handling, the local FFmpeg orchestration) are welcome.

License

MIT

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