Enables AI agents to run cross-platform batch photo-processing workflows—including RAW decoding, adjustments, noise reduction, white balance, LOG restoration, EXIF tagging, deduplication, selection, HTML galleries, folder watching, and presets—through a unified versioned JSON contract. It also exposes MCP tools for processing, suggestions, autopilot, indexing, search, selection, HDR, face blurring, and more.
Enables AI assistants and MCP clients to inspect camera streams, probe video/audio codecs, capture live JPEG snapshots, generate playback URLs, discover camera integrations, and manage streams dynamically with strict credential redaction.
A local, read-only MCP server that lets AI agents inspect and analyze photo libraries by scanning files, aggregating EXIF stats, finding duplicates, scoring blur, and generating cull reports without uploading any data.
Enables AI agents to access every frame of a completed local video dataset as native-resolution images with exact presentation timestamps, ordered batches, metadata, contact sheets, frame comparisons, and review-coverage tracking through MCP tools.
MCP server enabling AI agents to perform autonomous photographic color science and screenshot annotation with deterministic computer vision, film emulation, and real-time live preview.