— · MIT License
Runs entirely local media tooling as an MCP plugin: it edits and inspects video, denoises/transcribes/normalizes audio, generates images, performs OCR, does offline text-to-speech, drives the user's logged-in Chrome via CDP, and reads or creates Office and PDF documents. Everything executes on the machine through ffmpeg, faster-whisper, MossFormer2, ComfyUI/FLUX, Tesseract, SAPI and Playwright, with no API costs or file uploads.
v0.1.0 · MIT License
Enables AI assistants to perform read-only checks of sky positions against public astronomy archives, returning compact JSON verdicts and evidence for known transients, variables, TESS objects, asteroids, and other objects, plus observation planning and image links.
v0.2.0 · MIT License
Enables AI agents to generate studio-grade fashion photography and 4K motion-captured video, perform garment try-ons and background edits, and export creative assets to commerce, productivity, and social platforms.
v4.0.0 · MIT License
Enables AI agents and LLM platforms to create and manage live 3D isometric sessions, upsert agents, update progress and status, trigger speech bubbles, and remove agents through stateful MCP tools over STDIO or HTTP.
v0.1.0 · MIT License
Connects to LibTV's canvas and media platform to create and edit canvases and nodes, generate images, videos, audio and speech, manage screenplays and storyboards, and run timeline edits and exports. Authorization happens once via a WeChat QR scan using OAuth 2.1 with PKCE, after which tokens are stored locally and refreshed automatically.
v0.5.0 · MIT License
Enables users to search songs, play liked music or playlists, control playback and volume, and query playback status and timestamped lyrics using their own account and membership permissions.
— · MIT License
Enables local, evidence-led analysis of a master recording into inspectable stems, timing, beats, harmony, lyrics, MIDI and sonic evidence, then finds complete-bar loopable sections for Shorts and other short-form video. Results stay traceable through source hashes, manifests, JSON/TSV/NPZ artifacts and portable Sonic Visualiser sessions, and it can run as a CLI, Python library, web service, container or MCP plugin.