{"repo":"sm18lr88/STT-MCP","free":true,"listed":false,"github":"https://github.com/sm18lr88/STT-MCP","clone":"git clone https://github.com/sm18lr88/STT-MCP.git","description":"Fast, local speech-to-text MCP server","language":"Python","stars":33,"topics":[],"license":"MIT","category":"mcp-servers","readme_excerpt":"STT-MCP 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. Table of contents - Backends - Installation - Transcribe from the CLI - Use as an MCP server - Operational behavior - Contributor and backend verification - Contributing - License - Uninstall Backends 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. Installation 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 th","default_branch":null,"files":null,"tree":[],"storefront":"/r/sm18lr88","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/sm18lr88/STT-MCP/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}