SiliconFlow Voice Transcription
MCP-Audio is a Flask-based server that provides voice transcription capabilities by integrating with SiliconFlow's audio processing API. The server exposes endpoints for audio file uploads, processes them using the FunAudioLLM/SenseVoiceSmall model, and returns transcription results with confidence scores. It includes Docker containerization with ffmpeg support, handles base64-encoded audio input, and implements proper error handling and file management, making it suitable for applications requiring voice-to-text conversion in AI workflows.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- cloud-infra
- Source
- PulseMCP
- Repository
- github.com/aio-2030/mcp-audio
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve SiliconFlow Voice Transcription from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.