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Control Audacity via MCP for automated audio generation, editing, and export.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Audacity MCP Server" yet — see the docs or source repo.
Use the Audacity MCP Server to open all WAV files in ./podcast/raw/, apply noise reduction, normalize loudness to -16 LUFS, remove long silences, and export them to ./podcast/clean/ with the original filenames.
A batch of cleaned, loudness-normalized, exported podcast audio files.
Use the Audacity MCP Server to generate three 2-second futuristic notification sounds, add slight echo and a high-pass filter, then export them as MP3 files to ./assets/sfx/.
Three processed notification sound files ready for product or video use.
Use the Audacity MCP Server to open interview.wav, trim dead space at the beginning and end, apply vocal compression and EQ, export as a high-quality MP3, and provide a summary of the processing steps performed.
A polished interview audio file ready to publish, plus a summary of processing steps.
Enable AI to transcribe audio, detect languages, and extract metadata.
Generate broadcast-quality sound effects locally from text prompts.
Transcribe audio, split recordings intelligently, and analyze meetings in MCP clients.
Transcribe audio into structured notes with speakers, timestamps, summaries, and action items.
Control FMOD Studio live for real-time project editing and audio workflow automation.
Quickly integrate OpenAI image and audio generation through MCP-wrapped APIs.