mcp-video: mcp-video is a free, open-source MCP server, Python library, and CLI that gives AI agents a structured video-editing surface. It wraps FFmpeg, cinematic planning, media analysis, quality checks, subtitles, audio, effects, Hyperframes rendering, and local repurposing packages behind typed tool schemas.; context-mode: Every tool call in an MCP (Model-Controller-Program) environment dumps raw data into the context window, quickly consuming space and causing the agent to lose track of ongoing tasks. Context Mode is an MCP server that tackles this by sandboxing tool outputs to significantly reduce context usage, tracking session events in SQLite for continuity, and promoting 'think in code' to minimize data processing within the LLM.
Creating social media clips from long-form video
Deep repository research and analysis (e.g., architecture, contributors, issues)