live-translate-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| PIPER_VOICE_DIR | No | Path to Piper .onnx voice files. | ~/.live-translate/voices |
| ANTHROPIC_API_KEY | Yes | Required. Your Anthropic API key. |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| translate_fileA | Translate a speech audio file between English and Mandarin Chinese. Pass an absolute path to a WAV file. Automatically detects the input language and translates to the other. Saves the translated audio next to the source file and plays it. Returns original text and translation. |
| translate_speechB | Translate speech audio between English and Mandarin Chinese. Automatically detects the input language and translates to the other. Returns original text, translation, and synthesised audio as base64-encoded WAV. |
| health_checkA | Check whether all live-translate-mcp dependencies are available: Whisper model cache, Piper voice files, and espeak-ng binary. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 3 tools
Each tool has a clearly distinct purpose: health_check checks dependencies, translate_file handles file-based translation with local saving, and translate_speech provides real-time speech translation with base64 output. No overlap.
All tool names use consistent snake_case naming with a verb_noun pattern (health_check, translate_file, translate_speech), making it easy to infer functionality.
With 3 tools, the server is small but well-scoped for its purpose of live translation between English and Mandarin. The count is reasonable, though slightly on the lower end, covering health check, file translation, and speech translation.
The server covers the core workflow of speech translation and file conversion but lacks text translation, language configuration, or support for additional language pairs, which are notable gaps for a translation tool.