supertonic3-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
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 | {
"listChanged": true
} |
| logging | {} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| extensions | {
"io.modelcontextprotocol/ui": {}
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| speakA | Convert text to speech and save a WAV file. Returns the absolute path and metadata. |
| list_voicesA | List built-in Supertonic voice styles. |
| list_expressionsA | List inline expression tags (e.g. ) usable inside speak() text. |
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 clear, distinct purpose: listing voice styles, listing expression tags, and performing text-to-speech conversion. No overlap or ambiguity between the tools.
All tool names follow a consistent verb_noun pattern: list_voices, list_expressions, and speak. The naming is predictable and uniform.
With only three tools, the server is well-scoped for a text-to-speech domain. Each tool is essential and earns its place.
The tool set covers the core workflow: discovering available voices and expressions, then speaking text. No obvious gaps for the stated purpose.