speech-mcp-server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| VOLC_APPID | Yes | The APP ID for the VolcEngine. | |
| VOLC_TOKEN | Yes | The Access Token for the VolcEngine. | |
| VOLC_CLUSTER | Yes | Large speech synthesis model service cluster ID | |
| VOLC_VOICE_TYPE | No | Large speech synthesis model service voice_type, default is 'zh_female_meilinvyou_moon_bigtts' | zh_female_meilinvyou_moon_bigtts |
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": false
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| ttsA | |
| asrB | |
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 2 tools
The two tools, tts and asr, have completely distinct purposes: one synthesizes speech from text, the other converts audio to text. There is no overlap or ambiguity between them.
Both tool names are lowercase three-letter acronyms (tts, asr), following a consistent and predictable pattern. The naming style is uniform across the set.
With only 2 tools, this is on the thin side. However, the two tools cover the essential capabilities of a speech server (synthesis and recognition), making the count borderline appropriate.
The tool set covers the two core directions of speech processing (text-to-speech and automatic speech recognition), representing solid coverage. Minor gaps such as voice selection or streaming are not included, but the fundamental workflows are fully supported.