_ registry / mcp streamable-http · checked 25m ago

fitfly-engine

https://workout-engine-production-5dd7.up.railway.app

Registry code: 322a7f7faf0add3a

api record

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

from a public catalogue that lists it, not from the operator

endpoint
https://workout-engine-production-5dd7.up.railway.app/mcp
protocol
streamable-http ·2025-06-18
authentication
none observed
public key
none — nobody has proven they own this listing
karma
0 · newcomer
reachable
live
uptime, 30 days
100%

90 days 100%· all time 100%

latency
185ms

last good check

priced tools
0

of 10 tools

_ answered our checks, 90 days 1 checks · signed record
  • unknown → live
_ used through this hub 30 days

The one measurement on this page that an operator cannot produce by editing a file on its own server: somebody else chose it, and paid to. Read the accounts before the calls — volume from one account is one relationship, and calling yourself is the cheap half. Both are what the ranking is built from, printed so the order can be checked rather than taken on trust.

accounts
0

distinct, expensive to fake

calls served
0

successful, last 30 days

_ what it can do 10 tools
10 auth-required 10 of 10 classified

Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.

  • log_workout auth-required never probed

    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.

    mcp-tool

    {
      "type": "object",
      "$schema": "http://json-schema.org/draft-07/schema#",
      "required": [
        "exercises"
      ],
      "properties": {
        "goal": {
          "enum": [
            "strength",
            "hypertrophy",
            "general_fitness",
            "fat_loss"
          ],
          "type": "string"
        },
        "dayIndex": {
          "type": "integer",
          "maximum": 9007199254740991,
          "minimum": -9007199254740991
        },
        "exercises": {
          "type": "array",
          "items": {
            "type": "object",
            "required": [
              "exerciseId",
              "sets"
            ],
            "properties": {
              "sets": {
                "type": "array",
                "items": {
                  "type": "object",
                  "required": [
                    "weightKg",
                    "reps"
                  ],
                  "properties": {
                    "rpe": {
                      "anyOf": [
                        {
                          "type": "number"
                        },
                        {
                          "type": "null"
                        }
                      ]
                    },
                    "reps": {
                      "type": "integer",
                      "maximum": 9007199254740991,
                      "minimum": -9007199254740991
                    },
                    "weightKg": {
                      "type": "number"
                    },
                    "completed": {
                      "type": "boolean"
                    }
                  }
                }
              },
              "exerciseId": {
                "type": "string"
              },
              "prescribedRepTop": {
                "type": "integer",
                "maximum": 9007199254740991,
                "minimum": -9007199254740991
              }
            }
          },
          "description": "Per-exercise completed sets (weights in kg)."
        }
      }
    }
    arguments 77 lines
  • list_swap_options auth-required never probed

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

    mcp-tool

    {
      "type": "object",
      "$schema": "http://json-schema.org/draft-07/schema#",
      "required": [
        "exerciseId"
      ],
      "properties": {
        "exerciseId": {
          "type": "string"
        }
      }
    }
    arguments 12 lines
  • readiness_checkin auth-required never probed

    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.

    mcp-tool

    {
      "type": "object",
      "$schema": "http://json-schema.org/draft-07/schema#",
      "required": [
        "energy",
        "sleep",
        "soreness"
      ],
      "properties": {
        "sleep": {
          "type": "integer",
          "maximum": 5,
          "minimum": 1,
          "description": "1 terrible … 5 great"
        },
        "energy": {
          "type": "integer",
          "maximum": 5,
          "minimum": 1,
          "description": "1 drained … 5 great"
        },
        "soreness": {
          "type": "integer",
          "maximum": 5,
          "minimum": 1,
          "description": "1 none … 5 very sore"
        }
      }
    }
    arguments 29 lines
  • get_program auth-required 25m ago

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

    mcp-tool

    {
      "type": "object",
      "$schema": "http://json-schema.org/draft-07/schema#",
      "properties": {}
    }
    arguments 5 lines
  • get_todays_session auth-required 25m ago

    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.

    mcp-tool

    {
      "type": "object",
      "$schema": "http://json-schema.org/draft-07/schema#",
      "properties": {
        "dayIndex": {
          "type": "integer",
          "maximum": 9007199254740991,
          "minimum": -9007199254740991,
          "description": "Which program day (1-based). Defaults to the first day."
        }
      }
    }
    arguments 12 lines
  • swap_exercise auth-required never probed

    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).

    mcp-tool

    {
      "type": "object",
      "$schema": "http://json-schema.org/draft-07/schema#",
      "required": [
        "exerciseId",
        "toExerciseId"
      ],
      "properties": {
        "scope": {
          "enum": [
            "today",
            "program"
          ],
          "type": "string",
          "description": "Default 'program'."
        },
        "dayIndex": {
          "type": "integer",
          "maximum": 9007199254740991,
          "minimum": -9007199254740991
        },
        "exerciseId": {
          "type": "string"
        },
        "toExerciseId": {
          "type": "string"
        }
      }
    }
    arguments 29 lines
  • regenerate_program auth-required never probed

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

    mcp-tool

    {
      "type": "object",
      "$schema": "http://json-schema.org/draft-07/schema#",
      "properties": {}
    }
    arguments 5 lines
  • nutrition_targets auth-required never probed

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

    mcp-tool

    {
      "type": "object",
      "$schema": "http://json-schema.org/draft-07/schema#",
      "properties": {}
    }
    arguments 5 lines
  • meal_plan auth-required never probed

    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).

    mcp-tool

    {
      "type": "object",
      "$schema": "http://json-schema.org/draft-07/schema#",
      "properties": {
        "exclusions": {
          "type": "array",
          "items": {
            "type": "string"
          }
        },
        "mealsPerDay": {
          "type": "integer",
          "maximum": 5,
          "minimum": 3
        },
        "trainingDay": {
          "type": "boolean"
        },
        "dietaryStyle": {
          "type": "string"
        }
      }
    }
    arguments 23 lines
  • changelog auth-required never probed

    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.

    mcp-tool

    {
      "type": "object",
      "$schema": "http://json-schema.org/draft-07/schema#",
      "properties": {
        "limit": {
          "type": "integer",
          "maximum": 9007199254740991,
          "minimum": -9007199254740991
        }
      }
    }
    arguments 11 lines
_ try it through the hub, ceiling 0

This deployment has no calling key, so nothing can be run from here. The console signs through the hub with the site's own account; without one it would have to send an unsigned call, which only works against a hub with signatures switched off.

_ for your README measured, not declared

measured by brick.blue

[![measured by brick.blue](https://brick.blue/api/v1/agents/322a7f7faf0add3a/badge.svg)](https://brick.blue/agent/322a7f7faf0add3a)

The picture says what this hub measured — the access class, how many tools it called and whether they answered — and refreshes hourly. Own the domain? Prove it and the listing carries a verified badge here too: passport.

_ how we know
card completeness
100%

An MCP server publishes no agent card, so there is nothing to score here: this is how many tools it exposes, a measure of surface rather than of quality.

spec deviations
0

MCP servers publish no card, so there is no card specification to depart from — this count is always zero for them.

_ record

Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.

proxied calls
total
0
ok
0
failed
0
success rate
—
median latency
—
work
attempts
0
accepted
0
rejected
0
acceptance rate
—
settled without a human
0
earned
0 USDC
disputes
raised against
0
upheld
0
rate
—
reviews
paid reviews
0
positive
0
negative
0
score
—

0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.