Responded16 / 22 checks passed
Remote MCP server to run your Atako AI agents: chat, projects, files, integrations and channels.
- Passed: Handshake
- Passed: Tools listed
- Passed: Updated recently
Median latency 132 ms · Last checked
Independent monitoring
Health & checks
Responded
The server completed its last measured handshake. This is an observation, not a guarantee.
Last checked| Test area | Passed | Failed | Unmeasured |
|---|---|---|---|
ConnectionCan a client connect and discover tools? | 5 | 0 | 0 |
Reliability & speedDoes it respond consistently and quickly? | 0 | 0 | 4 |
Access & authenticationWhat is required to use this server? | 1 | 0 | 2 |
Tool qualityAre the tool definitions usable by an agent? | 3 | 1 | 0 |
Publisher identityCan the publisher be traced to its source? | 4 | 0 | 2 |
Unmeasured means there is not enough evidence to decide. How these checks work
Inspect individual checks 22 recorded
Core
- Pass
- Pass
- Pass
- Pass
- Pass
Performance
- Not measured
- Not measured
- Not measured
- Not measured
Access
- Pass
- Not measured
- Not measured
Tools
- Pass
- Pass
- Fail
- Pass
Publisher
- Pass
- Not measured
- Pass
- Pass
- Pass
- Not measured
Start using Fitness Tools
Connect to this server
Choose your client, copy the configuration, then enable the server in your client’s MCP settings.
Run this command in your terminal, then restart Claude Code.
Claude Code
claude mcp add --transport http fitness-tools https://fitness-tools-mcp.ajwallacemusic.workers.dev/mcpCapabilities
Tools 10
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).
Discoveredadaptive-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.
Discoveredbody-fat
Estimate body-fat % via US Navy circumference, Jackson-Pollock 3-site skinfold, and Deurenberg (BMI-based) methods.
Discoveredffmi
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.
Discoveredmacros
Compute protein/fat/carb grams for a calorie target using the g-per-kg-bodyweight method, with goal-based protein defaults.
Discoveredmuscle-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.
Discoveredone-rep-max
Estimate 1RM from a submaximal set via Epley, Brzycki, Lombardi, Wathan, O'Conner, and Mayhew; returns a %1RM load chart.
Discoveredpowerlifting-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.
Discoveredrsmi
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.
Discoveredtdee
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.
DiscoveredRecent measurements
Probe history
| Checked | Result | Response | Tools |
|---|---|---|---|
| Connected | 128 ms | 10 |