ZBS Index What actually exists in applied AI, with the source next to it

mcp server

Fitness Tools

Deterministic fitness calculators — TDEE, adaptive TDEE, body fat, 1RM, macros — with consensus.

Description as published by the maintainer. Source

  • version 0.3.4
  • active

active — Most recent push to the repository was 2026-07-24.

What this server can do

10 functions, named and described by the server itself. Parameter names are shown because they say more about what a function does than its name usually does.

activity-multiplier(bmr, weight, methods, intensity, occupation, steps_per_day, activity_level, session_minutes, sessions_per_week)
Estimate the TDEE activity multiplier via the classic lookup table or a NEAT+EAT model (occupation/steps for non-exercise, training volume for exercise).
adaptive-tdee(entries, methods, window_days, prior_tdee_kcal)
Measure actual TDEE from a logged history of daily weight and/or calorie intake. Default method (kalman) is a joint Kalman filter over true weight and TDEE — handles missing days, gates outliers, and reports uncertainty (CI95) alongside denoised true weight; regression/endpoints are simple window-based estimates kept for comparison. Use instead of formula TDEE once real logged data exists. Each entry needs at least one of weight/kcal (not necessarily both). Entry dates must span 10 years or less (earliest to latest). Note: all methods need at least one weigh-in (kalman) or two (regression/endpoints) — a history with zero weight entries throws under the kalman default; pass methods:'all' to get a graceful empty/skipped result instead. Required: entries.
body-fat(age, hip, sex, neck, waist, height, weight, methods, skinfold_sum)
Estimate body-fat % via US Navy circumference, Jackson-Pollock 3-site skinfold, and Deurenberg (BMI-based) methods. Required: sex.
ffmi(height, weight, methods, body_fat, lean_mass)
Compute the Fat-Free Mass Index (FFMI) and its height-adjusted form from weight and body fat (or lean mass), and flag whether it exceeds the ~25 natural ceiling. Required: height, weight.
macros(goal, weight, methods, calories, fat_g_per_kg, protein_g_per_kg)
Compute protein/fat/carb grams for a calorie target using the g-per-kg-bodyweight method, with goal-based protein defaults. Required: calories, weight.
muscle-potential(sex, ankle, wrist, height, methods, target_body_fat_pct)
Estimate drug-free maximum bodyweight at a target body-fat % via Casey Butt (wrist+ankle), the FFMI~25 natural cap, and Berkhan's max-contest-weight model. Men only in v1. Required: sex, height.
one-rep-max(reps, weight, methods)
Estimate 1RM from a submaximal set via Epley, Brzycki, Lombardi, Wathan, O'Conner, and Mayhew; returns a %1RM load chart. Required: weight, reps.
powerlifting-attempts(bar_weight, one_rep_max, aggressiveness, available_plates)
Deterministic opener/second/third attempts from an estimated 1RM, plus a warmup ramp and per-side plate loading. Tunable by aggressiveness and available plates. Required: one_rep_max.
rsmi(age, sex, asm_kg, height, weight, methods)
Estimate the appendicular skeletal muscle index (RSMI) from a DXA value (direct) and/or an anthropometric estimate (Wen 2011), and flag low muscle mass against EWGSOP2, AWGS, and Baumgartner sarcopenia cutoffs. Required: sex, height, weight, age.
tdee(age, sex, height, weight, methods, activity, body_fat, lean_mass)
Estimate BMR and TDEE via Mifflin-St Jeor, Harris-Benedict, Katch-McArdle, and Cunningham. Provide body_fat or lean_mass to unlock the LBM-based methods. Required: sex, age, height, weight, activity.

Last successful function declaration observed on . Source: https://fitness-tools-mcp.ajwallacemusic.workers.dev/mcp. We list what the server declared; we do not call any of these functions.

Endpoint status observed on . Source: https://fitness-tools-mcp.ajwallacemusic.workers.dev/mcp.

Signals

These are separate measurements of different things. They are deliberately not combined into one score, because a popularity number that mixes website traffic with saves and stars cannot be checked or acted on.

Signal Value What it measures Window Observed Source
GitHub stars 1 Number of GitHub accounts that bookmarked this repository since it was created. It is a bookmark count, not installs, not active users and not quality. cumulative, all time GitHub
Last commit 2026-07-24 Date of the most recent push to any branch. This is the strongest cheap indicator of whether the project is still maintained. point in time GitHub
Open issues 0 Open issues plus open pull requests, as GitHub counts them together. A high number can mean an active project or an abandoned one. as of fetch GitHub
Latest published version 0.3.4 Latest version string the maintainer published to the registry. as of fetch Model Context Protocol
Registry record last updated 2026-07-24 When the registry record was last updated by its maintainer. point in time Model Context Protocol
License MIT Licence GitHub detected in the repository. Detection can be wrong; the LICENSE file is authoritative. as of fetch GitHub
First listed in the MCP Registry 2026-07-24 Date this server was first published to the official MCP Registry. Not a usage or quality measure. point in time Model Context Protocol
repository status active The repository exists on GitHub and is not archived. This says nothing about how recently it was worked on. as of fetch GitHub
mcp tools declared 10 tools Number of functions the server itself declared when asked to list them. This is what the server offers an agent, not a measure of how well any of them work. as of probe fitness-tools-mcp.ajwallacemusic.workers.dev
mcp endpoint status ok The server listed 10 functions when asked. as of probe fitness-tools-mcp.ajwallacemusic.workers.dev

Where to get it

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These share tags the maintainers applied themselves, such as zod, calculator, hono. Common tags like "mcp" or "ai" are ignored for this: agreeing with six hundred other projects is not a similarity.

This is not a recommendation and not a test result. It is a map of what the authors said their work is about.

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How the author describes it

Topics the maintainer set on GitHub: bmr, calculator, fitness, health, hono, isomorphic, openapi, tdee, typescript, zod.

This record as data

Every field on this page, with its source and observation date, is in the catalog JSON. Fetch the whole kind at once instead of parsing this HTML.

GET /api/v1/entries/mcp_server.json

Sources

  1. almostjacked/fitness-tools on GitHub — GitHub, observed , trust tier 3.
  2. Tools declared by the MCP server at https://fitness-tools-mcp.ajwallacemusic.workers.dev/mcp — fitness-tools-mcp.ajwallacemusic.workers.dev, observed , trust tier 1.
  3. Official MCP Registry — Model Context Protocol, observed , trust tier 1.