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teppi

Server definition

Hash
sha256:97db87d37ac2c52d9a2f0d3c5474850ca31a7ef1ba6455e24d9d6d1196cfc4d1
What it is
What a remote MCP server returned when asked what it offers: 10 tools

The blob, as servednamed by its sha256

{ "instructions": null, "tools": [ { "description": "The 'what changed & why' feed — the engine's coaching decisions (volume bumps, deloads, swaps) in Coach Fly's voice. Use to explain to the athlete why their plan evolved.", "inputSchema": { "$schema": "http://json-schema.org/draft-07/schema#", "properties": { "limit": { "maximum": 9007199254740991, "minimum": -9007199254740991, "type": "integer" } }, "type": "object" }, "name": "changelog", "outputSchema": null }, { "description": "The athlete's current multi-day program (render-ready).", "inputSchema": { "$schema": "http://json-schema.org/draft-07/schema#", "properties": {}, "type": "object" }, "name": "get_program", "outputSchema": null }, { "description": "Today's workout: exercises, sets/reps, per-exercise load guidance and concrete target weights, plus nutrition targets and cycle status. Auto-applies the user's readiness check-in (autoregulation) if they've done one today. Call this to see what the athlete should do now.", "inputSchema": { "$schema": "http://json-schema.org/draft-07/schema#", "properties": { "dayIndex": { "description": "Which program day (1-based). Defaults to the first day.", "maximum": 9007199254740991, "minimum": -9007199254740991, "type": "integer" } }, "type": "object" }, "name": "get_todays_session", "outputSchema": null }, { "description": "Valid alternatives for an exercise — same muscle group, filtered to the athlete's equipment/level/injuries. Use before swap_exercise.", "inputSchema": { "$schema": "http://json-schema.org/draft-07/schema#", "properties": { "exerciseId": { "type": "string" } }, "required": [ "exerciseId" ], "type": "object" }, "name": "list_swap_options", "outputSchema": null }, { "description": "Record what the athlete actually lifted. The engine runs progression (double-progression, e1RM), detects PRs, and returns per-exercise outcomes (established/progressed/held/deloaded) with next-time targets. Weights are in kg.", "inputSchema": { "$schema": "http://json-schema.org/draft-07/schema#", "properties": { "dayIndex": { "maximum": 9007199254740991, "minimum": -9007199254740991, "type": "integer" }, "exercises": { "description": "Per-exercise completed sets (weights in kg).", "items": { "properties": { "exerciseId": { "type": "string" }, "prescribedRepTop": { "maximum": 9007199254740991, "minimum": -9007199254740991, "type": "integer" }, "sets": { "items": { "properties": { "completed": { "type": "boolean" }, "reps": { "maximum": 9007199254740991, "minimum": -9007199254740991, "type": "integer" }, "rpe": { "anyOf": [ { "type": "number" }, { "type": "null" } ] }, "weightKg": { "type": "number" } }, "required": [ "weightKg", "reps" ], "type": "object" }, "type": "array" } }, "required": [ "exerciseId", "sets" ], "type": "object" }, "type": "array" }, "goal": { "enum": [ "strength", "hypertrophy", "general_fitness", "fat_loss" ], "type": "string" } }, "required": [ "exercises" ], "type": "object" }, "name": "log_workout", "outputSchema": null }, { "description": "A day of meals hitting the athlete's targets, USDA truth-checked (flags feasible=false with a note when macros are approximate). Slow (~15s AI call).", "inputSchema": { "$schema": "http://json-schema.org/draft-07/schema#", "properties": { "dietaryStyle": { "type": "string" }, "exclusions": { "items": { "type": "string" }, "type": "array" }, "mealsPerDay": { "maximum": 5, "minimum": 3, "type": "integer" }, "trainingDay": { "type": "boolean" } }, "type": "object" }, "name": "meal_plan", "outputSchema": null }, { "description": "The athlete's daily calorie + macro targets, computed from body stats, activity, and goal.", "inputSchema": { "$schema": "http://json-schema.org/draft-07/schema#", "properties": {}, "type": "object" }, "name": "nutrition_targets", "outputSchema": null }, { "description": "Record how the athlete feels today (energy, sleep, soreness — each 1–5). The engine scores readiness and, on the next get_todays_session, reshapes the workout accordingly (reduce volume / reduce intensity / recovery day). Returns the readiness score + modifier.", "inputSchema": { "$schema": "http://json-schema.org/draft-07/schema#", "properties": { "energy": { "description": "1 drained … 5 great", "maximum": 5, "minimum": 1, "type": "integer" }, "sleep": { "description": "1 terrible … 5 great", "maximum": 5, "minimum": 1, "type": "integer" }, "soreness": { "description": "1 none … 5 very sore", "maximum": 5, "minimum": 1, "type": "integer" } }, "required": [ "energy", "sleep", "soreness" ], "type": "object" }, "name": "readiness_checkin", "outputSchema": null }, { "description": "Rebuild the whole program from the stored profile (~20s AI generation). Use after a profile change or a plateau.", "inputSchema": { "$schema": "http://json-schema.org/draft-07/schema#", "properties": {}, "type": "object" }, "name": "regenerate_program", "outputSchema": null }, { "description": "Replace an exercise with a valid same-area alternative. scope 'today' = just this session; scope 'program' = going forward. The new lift starts fresh (day-one calibration).", "inputSchema": { "$schema": "http://json-schema.org/draft-07/schema#", "properties": { "dayIndex": { "maximum": 9007199254740991, "minimum": -9007199254740991, "type": "integer" }, "exerciseId": { "type": "string" }, "scope": { "description": "Default 'program'.", "enum": [ "today", "program" ], "type": "string" }, "toExerciseId": { "type": "string" } }, "required": [ "exerciseId", "toExerciseId" ], "type": "object" }, "name": "swap_exercise", "outputSchema": null } ] }
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