Kooma — Bambara AI vs Whisper Windows MCP

Kooma — Bambara AI tools

No tool names declared yet. Check the project README from the listing page.

Whisper Windows MCP tools 12

• transcribe_audioTranscribe a single file. Supports blocking (default) or background mode for long files.
• check_progressMonitor a background transcription job started with `transcribe_audio` (background=true).
• start_batchAutomated sequential batch transcription of all untranscribed files in a folder. Sorts by duration (shortest first), processes one at a time as background jobs, validates each output. Batch self-advances when each file finishes — no polling required.
• check_batch_progressMonitor a running batch. Automatically advances to the next file when the current one finishes. Returns overall progress, current file with timestamp, and any failed files.
• generate_subtitlesGenerate subtitle files. Supports automatic language detection and English translation output. Outputs SRT (widest compatibility) or WebVTT (web and HTML5 video).
• analyze_mediaAnalyze files before committing to transcription. Returns duration, size, codec, and estimated transcription time on CPU and GPU. For folders, shows all files in a sortable table with transcription status.
• check_configVerify whisper-cli.exe, the model file, and FFmpeg are all accessible. Run this first if anything is failing.
• list_modelsList all Whisper model files installed in your models directory. Shows filename, size, whether it is currently active, quantization status, and recommended use case. No network calls — reads local filesystem only.
• download_modelDownload a Whisper model directly from Hugging Face into your models directory. Only downloads from trusted Hugging Face namespaces. After downloading, use `switch_model` to activate it.
• switch_modelSwitch the active Whisper model for the current session without restarting Claude Desktop. Change is session-scoped — does not persist after restart. To make permanent, update `WHISPER_MODEL` in your config.
• check_systemDetect GPU hardware and verify Vulkan acceleration is available. Reports GPU name, VRAM, whether `ggml-vulkan.dll` is present, and recommends the best model size for your hardware.
• whisper_serverStart, stop, or check the **persistent model server** (whisper.cpp's `whisper-server`). While running, the active model stays resident in VRAM and every `transcribe_audio` / `transcribe_batch` call is served over localhost with **no per-file model reload** — a large speedup when transcribing many s…