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MCP live MCP 2025-11-25 streamable-http

io.github.dropflyai/fitfly-engine

io.github.dropflyai/fitfly-engine

Deterministic fitness coaching engine: adaptive programs, progression math, readiness autoregulation

Uptime
100.0%
1 direct probes · 30d
Response
686ms
last probe
Tools
10
callable
Resources
0
readable
Prompts
0
available

Tools · 10

get_todays_session

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 t…

readiness_checkin

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 inten…

log_workout

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 ta…

list_swap_options

Valid alternatives for an exercise — same muscle group, filtered to the athlete's equipment/level/injuries. Use before swap_exercise.

swap_exercise

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).

get_program

The athlete's current multi-day program (render-ready).

regenerate_program

Rebuild the whole program from the stored profile (~20s AI generation). Use after a profile change or a plateau.

nutrition_targets

The athlete's daily calorie + macro targets, computed from body stats, activity, and goal.

meal_plan

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).

changelog

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.

How to use

Add to your Claude Desktop / Cursor / Cline MCP config:

{
  "mcpServers": {
    "io.github.dropflyai/fitfly-engine": {
      "url": "https://workout-engine-production-5dd7.up.railway.app/mcp",
      "transport": "streamable-http"
    }
  }
}