Schema | aiTrainer

aiTrainer

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

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.

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`	{}

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.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/dns-szrvs/aiTrainer'

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