ollos-mcp

Split a recording into speaker turns — who talked from when to when — and, if you pass the jobId of a finished ollos_transcribe, label every transcript segment with its speaker. Runs locally: pyannote segmentation, WeSpeaker voice embeddings and agglomerative clustering. For a Zoom local recording f…

Find moments across everything ollos has transcribed or read from screen: "what did we decide about the deadline", "when did the 401 error appear". Hybrid retrieval — BM25 for exact names, acronyms and numbers plus multilingual embeddings for meaning, fused by reciprocal rank — returning up to k pas…

Read what a file, URL or folder actually is, in under a second: kind (video/audio/image), duration, resolution, aspect ratio and which platforms it fits, codecs, fps, audio channels and track count. Use it first, before any other ollos tool, to decide what to run and to detect a Zoom recording folde…

Transcribe the speech in audio or video, locally with Whisper, with timestamps per segment and a heuristic confidence. Silence is skipped with a voice-activity detector and known Whisper hallucinations are removed, so what you get back was actually said. Pass vocabulary with domain terms ("Claude Co…

Pick the frames of a video that carry information and pack them into 3×3 contact sheets, so you can "watch" an hour of video in a handful of images. Frames are chosen by perceptual-hash change (works on screen recordings, where scene detection sees nothing), hard cuts (window switches, modals), opti…

OCR the text visible in a video or image and scan it for secrets: API keys, JWTs, bearer tokens, .env lines, private deployment URLs, local URLs, e-mails. Frames are selected as in ollos_keyframes, then read in upscaled tiles (small UI text is unreadable otherwise). Secret findings combine three sig…

Check a video before it goes public and return a verdict (ok / warn / block) with findings: loudness vs the platform target (YouTube -14 LUFS) and true peak, silence gaps worth cutting, aspect ratio vs the platform (a 1890×1080 file gets black bars on YouTube), and secrets visible on screen. The sec…

Get the state of a job started by ollos_transcribe, ollos_keyframes, ollos_read_screen, ollos_review or ollos_diarize: stage, percentage, and — once completed — the formatted result plus resource links, so no second call is needed. Poll every few seconds; the server keeps jobs on disk, so a jobId su…

Stop a queued or running ollos job by jobId — for example when the user changes their mind about a long transcription, or asked for the wrong file. The running stage is aborted (ffmpeg and model inference stop within a second) and the job is marked cancelled; partial artifacts already written stay o…

Return contact sheets or individual frames from a finished ollos_keyframes or ollos_read_screen job as images you can look at. Ask for sheets first (each shows 9 timestamped frames); ask for a single frame only when you need a close-up. Default 6 images per call (maxImages, up to 12) to protect the …