Best for
- Users who need local or private audio transcription
- Users already working with Docker, Claude, or Cursor
- Workflows that require FunASR or SenseVoice models
I
io.github.modelscope/funasr-mcp
Official
Private local audio transcription with FunASR.
GitHub source repository ↗
56FMRS · C
This is an upstream FunASR MCP server manifest, version 0.1.2, distributed as a Docker package over stdio for private local audio transcription. The manifest declares no tool names, so tool-level capabilities and invocation parameters cannot be verified further.
FunASR MCP Server is provided by the FunASR project for local audio transcription with FunASR and SenseVoice. The broader FunASR toolkit also supports streaming ASR, VAD, punctuation, speaker diarization, emotion recognition, and audio-event models, but this server manifest does not declare specific tool names. The server uses a Docker OCI image with stdio transport.
Tools
The tool list has not been reviewed yet.
Setup
Run ghcr.io/modelscope/funasr-mcp:0.1.2 with Docker. Mount the host directory containing audio files read-only at /audio and use /audio/<file> when invoking the server. Mount a Docker volume named funasr-mcp-cache at /root/.cache/modelscope to persist downloaded ModelScope model files.
Fit and risk
Not for
- Integrations requiring a declared tool list or precise MCP tool contract
- Users seeking a cloud-hosted transcription service
- Users assuming the MIT code license applies to all pretrained model weights
Required permissions
- Read access to audio files in the mounted host directory
- Write access to the ModelScope model-cache volume for downloaded files
- Access to audio paths under /audio inside the container
Risks and side effects
- The mounted host audio directory is readable by the container, although the manifest specifies a read-only mount
- Model files are downloaded and retained in the ModelScope cache volume
- The FunASR toolkit is MIT-licensed, but pretrained model weights may have separate licenses shown on their model cards
- Because no tool names are declared, the available operations cannot be confirmed from the manifest
Troubleshooting
- Verify that the host audio directory is mounted at /audio
- Use /audio/<file> rather than the host filesystem path when calling the server
- Confirm that Docker is using image version 0.1.2
- Check that the funasr-mcp-cache volume is mounted correctly so downloaded model files can be reused
- Confirm that the audio file exists inside the mounted directory
Use cases
Transcribing local audio files
Connecting FunASR speech recognition to Claude or Cursor
Running on-device inference without sending audio to a cloud service
Supported clients
ClaudePartial support
CursorPartial support