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Rendobar is a media processing platform for developers and agents. You send a job over one REST endpoint and get back a processed file. Rendobar runs the heavy work on managed serverless infrastructure, so there are no servers to provision, no queues to babysit, and no FFmpeg builds to maintain.
The platform exposes several products. Rendobar's FFmpeg API runs raw FFmpeg commands in a sandboxed container. Alongside it sit higher-level operations like captions and video composition, all billed from a single credit balance. It is MCP-native, so AI agents can call it through the Model Context Protocol the same way a human calls the REST API.
| You want to | Go to |
|---|---|
| Call the API from TypeScript | @rendobar/sdk on npm |
| Process media from your terminal | rendobar/cli · curl rendobar.com/install.sh |
| Wire Rendobar into an AI agent | rendobar/mcp · npx -y @rendobar/mcp |
| Read the guides and API reference | rendobar.com/docs |
Shipping on Rendobar? Add the badge to your README:
[](https://rendobar.com)Official MCP server for Rendobar. Lets AI agents run FFmpeg, compose video, burn captions and generate images, on files from your own disk.
Rendobar CLI: media processing and AI generation from your terminal. Run FFmpeg, compose video, caption and generate images in the cloud.
n8n community nodes for Rendobar. Automate media processing workflows using the Rendobar API in n8n.
Rendobar documentation: guides, API reference, and job-type recipes for the media processing and AI generation API.
Rendobar agent skills: integrate the media processing and AI generation API from any coding agent
Rendobar organization profile, community health files, and shared issue and PR templates.
This organization has no public members. You must be a member to see who’s a part of this organization.
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