Fitness Tools

io.github.almostjacked/fitness-toolsVersion 0.3.4

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

Status

Responds188 msNov 14, 2026, 14:44 UTCAnswered our handshake without sign-in.

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Last checked: Nov 14, 2026, 14:44 UTC
Latency: 188 ms
Remotes responding: 1 of 1
Sign-in: No sign-in
Hosting: Hosted outside the EU (detected)
Registry data as of: Nov 14, 2026, 22:14 UTC

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Connect

Streamable HTTP

https://fitness-tools-mcp.ajwallacemusic.workers.dev/mcpResponds188 msNov 14, 2026, 14:44 UTC

No sign-in

Claude Code

claude mcp add --transport http fitness-tools https://fitness-tools-mcp.ajwallacemusic.workers.dev/mcp

Claude Desktop and claude.ai

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Settings > Connectors > Add custom connector
Name: fitness-tools
Remote MCP server URL: https://fitness-tools-mcp.ajwallacemusic.workers.dev/mcp

Cursor

{
  "mcpServers": {
    "fitness-tools": {
      "url": "https://fitness-tools-mcp.ajwallacemusic.workers.dev/mcp"
    }
  }
}

VS Code

code --add-mcp '{"name":"fitness-tools","type":"http","url":"https://fitness-tools-mcp.ajwallacemusic.workers.dev/mcp"}'

Streamable HTTP

npm: @almostjacked/fitness-tools-mcp 0.3.4

Package only

npm (npx)

claude mcp add fitness-tools -- npx -y @almostjacked/fitness-tools-mcp@0.3.4

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Tools

10 tools

Tools of Fitness Tools
	Description		Read-only	Idempotent	Open world
`activity-multiplier`Estimate the TDEE activity multiplier via the classic lookup table or a NEAT+EAT model (occupation/steps for non-exercise, training volume for exercise).	Estimate the TDEE activity multiplier via the classic lookup table or a NEAT+EAT model (occupation/steps for non-exercise, training volume for exercise).	No	Yes	Yes	No
`adaptive-tdee`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.	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.	No	Yes	Yes	No
`body-fat`Estimate body-fat % via US Navy circumference, Jackson-Pollock 3-site skinfold, and Deurenberg (BMI-based) methods.	Estimate body-fat % via US Navy circumference, Jackson-Pollock 3-site skinfold, and Deurenberg (BMI-based) methods.	No	Yes	Yes	No
`ffmi`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.	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.	No	Yes	Yes	No
`macros`Compute protein/fat/carb grams for a calorie target using the g-per-kg-bodyweight method, with goal-based protein defaults.	Compute protein/fat/carb grams for a calorie target using the g-per-kg-bodyweight method, with goal-based protein defaults.	No	Yes	Yes	No
`muscle-potential`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.	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.	No	Yes	Yes	No
`one-rep-max`Estimate 1RM from a submaximal set via Epley, Brzycki, Lombardi, Wathan, O'Conner, and Mayhew; returns a %1RM load chart.	Estimate 1RM from a submaximal set via Epley, Brzycki, Lombardi, Wathan, O'Conner, and Mayhew; returns a %1RM load chart.	No	Yes	Yes	No
`powerlifting-attempts`Deterministic opener/second/third attempts from an estimated 1RM, plus a warmup ramp and per-side plate loading. Tunable by aggressiveness and 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.	No	Yes	Yes	No
`rsmi`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.	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.	No	Yes	Yes	No
`tdee`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.	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.	No	Yes	Yes	No

Details

Registry status: Active
Published: Jul 24, 2026
Updated: Jul 24, 2026
Website: Not given
Repository: https://github.com/almostjacked/fitness-tools⁠ (opens in a new tab)
Categories: Uncategorized
GDPR: Not declared

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