Kinocut
Provides guardrailed video editing capabilities for AI agents, encompassing structured tools for FFmpeg, cinematic planning, and media analysis.
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Provides guardrailed video editing capabilities for AI agents, encompassing structured tools for FFmpeg, cinematic planning, and media analysis.
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Kinocut is a free, open-source Model Context Protocol (MCP) server, Python library, and CLI designed to give AI agents a robust and guardrailed video editing surface. It wraps FFmpeg and integrates tools for cinematic prompt planning, media analysis, quality checks, subtitles, audio generation, effects, and Hyperframes rendering. Kinocut allows agents to plan, validate, render, recover, and prove multi-step local video jobs using a single JSON job-spec, producing strong receipts for trust and review. Its core purpose is to prevent agents from guessing FFmpeg flags or silently publishing broken media, offering typed operations, inspectable tool metadata, and preflight guardrails for reliable media automation.