simple-asr-mcp
Minimal MCP server for local speech recognition using faster-whisper. Runs on CPU, no cloud required.
Installation
pipx install simple-asr-mcp
Or with pip:
pip install simple-asr-mcp
Requirements
- Python 3.10+
- ffmpeg (required by faster-whisper for audio decoding)
On Windows, install ffmpeg via winget:
winget install Gyan.FFmpeg
Quick Setup (for Claude Code agents)
Run these two commands — no user interaction required:
pipx install simple-asr-mcp
claude mcp add asr --scope user -- simple-asr-mcp
Then ask the user to restart Claude Code or run /mcp to reconnect.
Usage
CLI
# Transcribe an audio file
simple-asr-mcp transcribe recording.wav
# Specify language and model
simple-asr-mcp transcribe recording.wav --language ru --model medium
# List available models
simple-asr-mcp models
MCP Server (Claude Code)
MCP tools available after setup:
- transcribe_file — transcribe any audio file by path
- list_models — see available Whisper models
Configuration
Environment variables:
| Variable | Default | Description |
|---|---|---|
WHISPER_MODEL |
small |
Default Whisper model |
WHISPER_DEVICE |
cpu |
Device: cpu, cuda, or auto |
WHISPER_COMPUTE_TYPE |
int8 |
Quantization type |
Example with custom config:
claude mcp add asr --scope user -e WHISPER_MODEL=medium -e WHISPER_DEVICE=cuda -- simple-asr-mcp
Available Models
| Model | Size | RAM (est.) |
|---|---|---|
| tiny | 75 MB | ~1 GB |
| base | 142 MB | ~1 GB |
| small | 466 MB | ~2 GB |
| medium | 1.5 GB | ~5 GB |
| large-v3 | 3.1 GB | ~10 GB |
The model is downloaded automatically on first use and cached locally. It stays in memory until the MCP server process exits.
Supported Audio Formats
Any format supported by ffmpeg: wav, mp3, flac, ogg, m4a, wma, etc.
Links
License
MIT
1 maintainer
Metadata
1 maintainer
Release files for simple-asr-mcp 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| simple_asr_mcp-0.1.2.tar.gz | 7.2 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| simple_asr_mcp-0.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 13.0 kB
Release files / simple_asr_mcp-0.1.2.tar.gz
| Download URL | simple_asr_mcp-0.1.2.tar.gz |
|---|---|
| Size | 7.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
f55acd6c1cc2bebe5af9bb46dedfd8e97b7e315e9083f4b4d5eca3f565bf7713
|
|
BLAKE2b-256 checksum How to use checksums |
7204cbffe90df297532e4bba2aad07b35a9f1c266d37ac497e718db73b473b29
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.12
|
Release files / simple_asr_mcp-0.1.2-py3-none-any.whl
| Download URL | simple_asr_mcp-0.1.2-py3-none-any.whl |
|---|---|
| Size | 5.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
9ab067e068be39b28c9130bb04a33a3769d6d748cfade9949db484241b08cede
|
|
BLAKE2b-256 checksum How to use checksums |
926be060a7c3760498ffc9d04b602a78adb4d64af698e18425436de4f5fb253f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.12
|
Security for simple-asr-mcp 0.1.2
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
