aiTrainer
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| AICOACH_DB_PATH | No | SQLite database path | ~/.local/share/aicoach/aicoach.db |
| AICOACH_DEFAULT_UNIT | No | Default weight unit | kg |
| AICOACH_IDLE_TIMEOUT_SECONDS | No | Auto-close idle workout sessions | 10800 |
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 |
|---|---|
| log_workoutA | Log sets for one exercise and attach them to the current open workout session. |
| get_current_workoutA | Return the open workout session and all exercises logged so far today. |
| get_exercise_historyB | Return recent workout sessions for a single exercise. |
| get_recent_workoutsC | Return recent workout sessions across all exercises. |
| get_progressB | Return coaching signals such as estimated 1RM, volume trend, and PRs. |
| list_exercisesA | List known exercises and aliases to help normalize exercise names. |
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 6 tools
Each tool targets a distinct aspect: current workout, exercise history, progress, recent workouts, exercise list, and logging. No overlap in purpose.
Every tool follows a consistent verb_noun pattern (get_, list_, log_), with no mixing of styles or vague verbs.
With 6 tools, the server is well-scoped for a workout tracking assistant—not too few, not too many.
Covers core needs: listing exercises, logging, viewing current workout, history, and progress. Minor gap: no explicit create/close session, though log_workout may implicitly open one.