Rendobar MCP server

@rendobar/mcp

Serverless media processing for AI agents. The official Model Context Protocol server for Rendobar.

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@rendobar/mcp is the official Model Context Protocol server for Rendobar, a serverless media processing API. The server runs locally over stdio and reads files straight from your disk, so an AI agent can take a file off your machine, process it on Rendobar's infrastructure, and hand back a hosted URL.

Rendobar covers both sides of media work.

Transform what you have. Run any FFmpeg command against video, audio or images the way you would write it locally. Inspect a file and get a normalized summary plus the full ffprobe report. Compose video from a declarative JSON timeline. Compress to a target size or quality, where the encoder searches candidate encodes and returns the smallest file that clears the bar. Burn in subtitles from SRT, VTT or ASS, or let it transcribe when none is given.

Generate what you do not. Create an image from a text prompt on hosted open-weight diffusion models. Edit up to four reference images from a written instruction, no masks and no coordinates. Upscale on a one-step diffusion restoration model that reconstructs detail rather than only sharpening. The same model-backed layer drives the transcription and keyword highlighting behind animated captions, so this is not an image-only capability.

The job list grows over time, so this README names families rather than types. listjobtypes reads the current set live from the registry on every call.

Published to npm as @rendobar/mcp and to the official MCP Registry as com.rendobar/mcp.

Without it

You: Mute the first 3 seconds of intro.mp4.

The agent tells you to install FFmpeg. Then you go looking for how to gate a filter on a timestamp, land on volume=enable='lt(t,3)', and lose another few minutes to quote escaping in your shell. Nobody remembers that syntax, which is the problem.

With it

You: Mute the first 3 seconds of intro.mp4.

upload_file  { "path": "~/clips/intro.mp4" }
// → { "downloadUrl": "https://cdn.rendobar.com/u/abc123/intro.mp4", "sizeBytes": 4821004 }

submit_job   { "type": "ffmpeg",
               "inputs": { "intro.mp4": "https://cdn.rendobar.com/u/abc123/intro.mp4" },
               "params": { "command": "-i intro.mp4 -af \"volume=enable='lt(t,3)':volume=0\" -c:v copy out.mp4" } }
// → { "jobId": "job_9f2a", "status": "waiting" }

get_job      { "jobId": "job_9f2a", "wait": true }
// → complete · $0.01 · https://cdn.rendobar.com/o/job_9f2a/out.mp4

Shortened. The full README is on GitHub.