mcpdirectory.dev
9,129 servers · updated 23 Sept

Rendobar MCP server

official from Rendobar Active last commit 17 d
{
  "mcpServers": {
    "rendobar": {
      "command": "npx",
      "args": [
        "-y",
        "@rendobar/mcp@latest"
      ],
      "env": {
        "RENDOBAR_API_KEY": "<rendobar_api_key>"
      }
    }
  }
}
file .mcp.json (in your project root)install npx -y @rendobar/mcpversion 1.12.1

What it does

This server provides access to Rendobar, a serverless media processing API. It lets AI agents transform video, audio, and images using FFmpeg commands, compress files to size targets, burn captions, generate images from prompts, and edit existing images—with results hosted and returned as URLs.

  • Apply FFmpeg filters or commands to video, audio, or images without installing FFmpeg locally.
  • Compress video or audio files to meet a specific file size limit while maintaining quality.
  • Generate images from text prompts or edit images based on written instructions.

Tools this server exposes

ToolDoes
upload_fileUpload a local file to Rendobar and receive a download URL for use in jobs.
submit_jobSubmit a media processing job (FFmpeg, compression, image generation, image editing, upscaling, or caption burning) to Rendobar.
get_jobCheck the status of a submitted job and retrieve the result URL when complete.
list_job_typesRetrieve the current list of available job types from the registry.
inspectExamine a media file and get a normalized summary plus full ffprobe output.

Before you enable it

An MCP server runs with whatever access you give it. Start with a development account rather than production, and check which tools the server exposes before you let an agent call them unattended.