MCP Server

rendi-ffmpeg-mcp-server AI Integration

Give your Pickaxe real follow-through with rendi-ffmpeg-mcp-server, so your AI can automate cross-tool workflows without extra handoffs. Keep momentum without constant copy-paste between tools.

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rendi-ffmpeg-mcp-server

Capabilities

5 capabilities

test_rendi_connection

Test connectivity to Rendi FFmpeg API and validate your API key

run_ffmpeg_command

Submit a single FFmpeg command for cloud processing. Use {{alias}} placeholders for files (e.g., {{in_1}}, {{out_1}}). Input files must start with 'in_' and be publicly accessible URLs. Output files must start with 'out_'.

Type: number

run_chained_ffmpeg_commands

Submit multiple sequential FFmpeg commands where outputs from earlier commands can be used as inputs in later commands. This is more efficient than running commands separately. Maximum 10 commands per chain.

Type: number

poll_ffmpeg_command

Check the status of a previously submitted FFmpeg command (single or chained). Returns current status, processing time, and output files with download URLs when complete.

Type: string

delete_command_files

Delete all output files associated with a completed command. This frees up storage space on Rendi's servers. Note: This action cannot be undone.

Type: string

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Frequently Asked Questions