Voicebox MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| VOICEBOX_API_URL | Yes | The URL of the VoiceBox TTS API server (e.g., http://localhost:5001) |
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 |
|---|---|
| voicebox_speakA | Convert text to speech using VOICEVOX. Non-blocking - queues task and returns immediately with task_id. |
| voicebox_statusC | Check the status of a TTS task |
| voicebox_speakersB | List available VOICEVOX speakers |
| voicebox_healthB | Check VoiceBox TTS system health |
| voicebox_metricsC | Get system metrics and statistics |
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 5 tools
Each tool has a clearly distinct purpose: health checks system status, metrics provides statistics, speak converts text to speech, speakers lists available voices, and status checks task progress. There is no overlap in functionality, making tool selection straightforward for an agent.
All tools follow a consistent 'voicebox_' prefix with descriptive suffixes (health, metrics, speak, speakers, status). This uniform naming pattern enhances predictability and readability across the toolset.
With 5 tools, the server is well-scoped for a TTS system, covering essential operations like health checks, metrics, speech generation, speaker management, and task monitoring. Each tool serves a clear, necessary function without redundancy.
The toolset covers core TTS workflows effectively, including system monitoring, speech synthesis, and task management. A minor gap exists in lacking tools for advanced operations like canceling tasks or managing speaker configurations, but agents can work around this with the provided tools.