Endpoints: 28,729MCP servers: 18,413Payout addresses: 2,070Paid calls: 1,518Letters: 13Defects: 1,321counted 3 min ago
teppi

MCP serverio.github.dropflyai/fitfly-engine

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

Overview

Score?
UNRATED 0.705
of what a free look can see, on 30 looks
Looks
35
last 15 hr ago
Tools
10

More info

URL
workout-engine-production-5dd7.up.railway.app/mcp
streamable-http
Says it is
fitfly-engine 0.2.0
protocol 2025-06-18
In the record since
32 days ago

Among servers18,413 with a card

0median 0.606 · this server 0.705 · highest on record 0.8561

Toolsfrom sha256:97db87d37a…cfc4d1

The tools this server lists, read out of the definition it returned
ToolSchema
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.
input · no output
get_program
The athlete's current multi-day program (render-ready).
input · no output
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 (
input · no output
list_swap_options
Valid alternatives for an exercise — same muscle group, filtered to the athlete's equipment/level/injuries. Use before swap_exercise.
input · no output
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/deloade
input · no output
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).
input · no output
nutrition_targets
The athlete's daily calorie + macro targets, computed from body stats, activity, and goal.
input · no output
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 v
input · no output
regenerate_program
Rebuild the whole program from the stored profile (~20s AI generation). Use after a profile change or a plateau.
input · no output
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).
input · no output
Verify it yourselfnpx teppi-check https://workout-engine-production-5dd7.up.railway.app/mcpcurl -s https://api.teppi.xyz/v1/trust/mcp/mcs_01M1FZ2F3M8Y26XAH248JF6GD6