Open AI Text To Speech1 MCP Server
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| HOST | No | 不适用 | |
| PORT | No | 不适用 | |
| API_KEY | Yes | API 密钥 |
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
} |
| prompts | {
"listChanged": false
} |
| resources | {
"subscribe": false,
"listChanged": false
} |
| experimental | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| speechC | The speech endpoint takes in three key inputs: the model name, the text that should be turned into audio, and the voice to be used for the audio generation. |
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 1 tool
With only one tool, there is no possibility of confusion between tools.
The single tool is named with a clear noun that describes its function, but there is no verb_noun pattern to evaluate consistency.
One tool is borderline; it covers the core functionality but may not be enough for agents needing to discover available voices or models.
The tool surface lacks additional endpoints for listing voices or models, which are typical in text-to-speech services, making it incomplete for some use cases.