konid-ai
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
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| coachA | Express an idea naturally in a target language. Returns 3 socially-calibrated options with romanization, literal meanings, tone notes, and cultural context. Each option is numbered for use with the speak tool. |
| speakA | Speak text aloud using text-to-speech. Generates audio and plays it through speakers. Use after coach to hear how a phrase sounds. |
| replayA | Replay the last spoken audio clip. Use when the user says 'again', 'replay', 'repeat', or 'play it again'. |
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: coach generates language options, speak produces audio from text, and replay repeats the last audio. There is no overlap in functionality, so an agent can select the correct tool without confusion.
All tool names are single lowercase verbs (coach, speak, replay) that directly describe their action. The naming convention is perfectly uniform and instantly understandable.
With only 3 tools, the server is tightly scoped to a simple workflow: generate a phrase, hear it, and repeat it. Each tool is necessary and the count is ideal for the intended purpose.
The tool surface covers the full language pronunciation loop: creating natural expressions, listening to them via TTS, and replaying on demand. There are no obvious gaps or dead ends for the intended use case.