Fast, local speech-to-text MCP server
Let your AI agents understand audio files, and audio within video. Normalizes audio with FFMPEG - translates - cleans up after itself.
Chosen backend implementation depends on your hardware, and your agent will help you choose: Parakeet or Granite. That selection is persisted for both the CLI and MCP server.
- Backends - Installation - Transcribe from the CLI - Use as an MCP server - Operational behavior - Contributor and backend verification - Contributing - License - Uninstall
Backend Best for Runtime -------- ---------------------------------------------------- ----------------------------------------------------------- Parakeet CPU-only Windows/Linux, Intel Mac, and Apple Silicon Pinned parakeet.cpp v0.4.0 plus a local multilingual GGUF Granite Highest-quality verified CUDA path Pinned IBM Granite Speech model on exactly one NVIDIA GPU
Windows x86-64 is verified with Parakeet CPU and Granite CUDA SDPA. Linux, WSL2, Intel macOS, and Apple Silicon paths are implemented but remain runtime-unverified. Containers are unsupported.
The recommended installation path is to point your coding agent at the authoritative runbook. Copy and paste this instruction into your agent:
Read docs/SETUP.md from top to bottom. Inspect my hardware, show me the recommended backend and why, ask me to confirm or choose a supported alternative, then follow the runbook to install, configure, and verify STT-MCP. Do not silently choose a backend or skip the real speech acceptance test.
From the project README.
Add the radar badge to your README — it shows your project was picked up by MCP Radar and links to this page:
[](https://mcp.liqiwa.com/s/sm18lr88--STT-MCP.html)
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