Integrate Renderio MCP server into your Slack workspace for instant access to your AI agent.
Tools that your AI agent can use through this MCP server to interact with Renderio
Upload a file directly to RenderIO storage. See the documentation
Store a publicly accessible file URL in RenderIO storage. See the documentation
Execute multiple independent FFmpeg commands in one request. See the documentation
Submit an FFmpeg command for processing with input and output file specifications. See the documentation
Execute multiple chained FFmpeg commands sequentially with shared input and output file specifications. See the documentation
Retrieve stored files for the account. See the documentation
Retrieve available RenderIO presets. See the documentation
Retrieve a stored file by ID. See the documentation
Retrieve a preset by ID. See the documentation
Get the status and results of a previously submitted FFmpeg command. See the documentation
Execute a RenderIO preset with input files. See the documentation
Download publicly accessible videos from yt-dlp-supported platforms like YouTube, TikTok, Instagram, Vimeo, and Twitch without additional processing. Provide input URLs as a dictionary with in_ prefixed keys, for example { "in_video": "https://www.youtube.com/watch?v=dQw4w9WgXcQ" }. For download plus FFmpeg processing, use Download and Process Video with yt-dlp instead. See the documentation
Download publicly accessible videos with yt-dlp and optionally process them with FFmpeg. Use this to fetch videos from supported platforms and transform them, for example extract audio, resize, trim, or convert formats. Provide input URLs as a dictionary with in_ prefixed keys; when processing with FFmpeg, provide output aliases with out_ prefixes. See the documentation
Delete a stored file by ID. See the documentation