Local MCP server that transcribes audio files with OpenAI — point it at a path, get the text back
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# jackai-stt-mcp [](https://github.com/jack-ai-net/stt-mcp/actions/workflows/test.yml) [](https://pypi.org/project/jackai-stt-mcp/) [](https://opensource.org/licenses/MIT) Transcribe audio by asking for it in plain language: > **You:** *transcribe ~/Downloads/voice.opus* > > **Claude:** تمام تمام، موضوع اللغة العربية إن شاء الله محلول… An MCP server that runs on your own machine, so the assistant can open the file directly. Nothing to run, no commands to memorise — you mention a file and the assistant does the rest. No uploading, no copying, no base64. Your OpenAI key never leaves your computer. Arabic works well, including dialect. ## Install Add this to your MCP client's config. `uvx` fetches and runs the package on first use — nothing to install by hand. ```json { "servers": { "jackai-stt": { "command": "uvx", "args": ["jackai-stt-mcp"], "env": { "OPENAI_API_KEY": "sk-proj-..." } } } } ``` Where the config lives: | Client | File | |---|---| | VS Code | `~/Library/Application Support/Code/User/mcp.json` (macOS) | | Claude Desktop | `~/Library/Application Support/Claude/claude_desktop_config.json` | | Claude Code | `.mcp.json` in the project, or `claude mcp add` | | Cursor | `~/.cursor/mcp.json` | Restart the client, then ask it to transcribe something. Get an API key at [platform.openai.com/api-keys](https://platform.openai.com/api-keys). The account needs credit; transcription runs about **$0.0045 per minute**. ## Usage Nothing to run, no syntax to learn. Talk to the assistant the way you normally would and mention the file: > *transcribe ~/Downloads/voice.opus* > > *what does the voice note on my desktop say?* > > *read ./recordings/call.m4a and summarise what the client is asking for* > > *transcrib…
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