3 tagged video-understanding, measured the same way as everything else here.
sakshamjain2301/videocontext-mcp
MCP server Claude CodeCodexCursor +2
MCP server "video-understanding-mcp" as configured in sakshamjain2301/videocontext-mcp. Runs locally from the video-understanding-mcp Python package.
MCP server Claude CodeCodexCursor +2
Turn videos, PDFs, screenshots, and articles into anchored, cached understanding for agents. Runs locally from the anylens npm package.
MCP server Claude CodeCodexCursor +2
Perception & verification MCP server for AI agents: mediaassert (declarative pass/fail QC for generated media), image diff (pixelmatch + SSIM), readable text tiles for small print & handwriting, video tools (frames on demand, scenes, QC defects, pacing dynamics, attention heatmaps, scene diff), and full audio DSP…