io.github.NasserAlbusaidi/macrofactor-mcp
PYPI · MACROFACTOR-MCP · SCANNED SEP 20
Fueling & recovery decision engine combining MacroFactor nutrition with Garmin training data
Available components
How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →
Supply Chain Security100
- No malware found by supply-chain analysis.Pass
- No known CVEs affecting this package version or its production dependencies.Pass
- Runs hatchling.build at install time, a recognised native-build step with no shell scripting around it. View diagnostics → Pass
- 2 of 43 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency32
- Source repository is publicly reachable at the declared URL. View diagnostics → Pass
- Provenance check failed: no build-provenance attestation is published. See how to fix → View diagnostics → Fail
- License check failed: no license is declared. See how to fix → Fail
- Actively maintained (last published 71 days ago).Pass
- Disclosure check failed: no security disclosure policy was found in the source repository. See how to fix → Fail
Schema Quality & AI Usability82
- AI-judged instruction clarity (excellent).Pass
- Tool/resource definitions use about 2513 tokens (~86/item across 29 items; 29 tools + 0 resources), lean.Pass
- Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management87
- Stability observed for 26 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage71
- 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
- 0% of tool parameters carry a description.Fail
- Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
- No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
- We read all 29 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
- An AI judge read all 30 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
- Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
How do I install the io.github.NasserAlbusaidi/macrofactor-mcp server?
io.github.NasserAlbusaidi/macrofactor-mcp runs locally as a PyPI package, launched with uvx macrofactor-mcp. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.
pypi · macrofactor-mcp
claude mcp add nasseralbusaidi-macrofactor-mcp -- uvx macrofactor-mcp
{
"mcpServers": {
"nasseralbusaidi-macrofactor-mcp": {
"command": "uvx",
"args": [
"macrofactor-mcp"
]
}
}
} {
"servers": {
"nasseralbusaidi-macrofactor-mcp": {
"command": "uvx",
"args": [
"macrofactor-mcp"
]
}
}
} codex mcp add nasseralbusaidi-macrofactor-mcp -- uvx macrofactor-mcp
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"nasseralbusaidi-macrofactor-mcp": {
"type": "local",
"command": [
"uvx",
"macrofactor-mcp"
],
"enabled": true
}
}
} openclaw mcp add nasseralbusaidi-macrofactor-mcp --command uvx --arg macrofactor-mcp
mcp_servers:
nasseralbusaidi-macrofactor-mcp:
command: "uvx"
args: ["macrofactor-mcp"] {
"McpServers": {
"nasseralbusaidi-macrofactor-mcp": {
"Transport": "stdio",
"Command": "uvx",
"Arguments": [
"macrofactor-mcp"
]
}
}
} assistant mcp add nasseralbusaidi-macrofactor-mcp -t stdio -c uvx -a macrofactor-mcp
{
"mcpServers": {
"nasseralbusaidi-macrofactor-mcp": {
"command": "uvx",
"args": [
"macrofactor-mcp"
]
}
}
} Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.
- 20 Sept 26 +1
No change was recorded against any check on this day. Stability & Change Management went from 83 to 87. That category is still filling its 30-day observation window: 25 days of observed history at the previous scan, 26 at this one. The score rises as the window fills, whether or not the server changes.
- 18 Sept 26 −3
- Stability: pass → 0.80 functional
- 17 Sept 26 +1
- Stability: 0.97 → pass security
- 15 Sept 26 +16
- Malware scan: unverified → pass ▲ security
- 14 Sept 26 −15
- Malware scan: pass → unverified ▼ security
- 13 Sept 26 +1
- Security disclosure: unverified → fail ▼ functional
- 12 Sept 26 +15
- Malware scan: unverified → pass ▲ security
- Security disclosure: fail → unverified ▼ functional
- 11 Sept 26 −18
- Malware scan: pass → unverified ▼ security
- Stability: pass → 0.80 functional
Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.
Captured 20 Sept 2026 · Analysed pypi/macrofactor-mcp@0.1.1
Provenance No attestation
The registry publishes no build provenance for this version, so there is nothing to verify.
| Result | No attestation |
|---|---|
| Ecosystem | pypi |
Background: How many MCP packages publish verified provenance →
Install scripts 1 script
| Hook | Tier | Command |
|---|---|---|
| build_backend | allowlisted | hatchling.build |
Background: Why install scripts are a supply-chain risk →
Dependencies 43 packages
| Packages resolved | 43 |
|---|---|
| Stale | 2 |
| Tree resolution | Complete |
Background: SBOMs and build attestations, explained →
The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →
analyze_meal_patterns ~128
Analyze meal timing, frequency, and which foods correlate with hitting targets. Shows when you eat, how many meals per day, most frequent foods, and which foods appear most on days where you hit your calorie and protein targets. Args: start_date: Start date (YYYY-MM-DD). Default: 30 days ago. end_date: End date (YYYY-MM-DD). Default: today. limit: Max foods to show per category (default 15).
| Name | Type | Req | Description |
|---|---|---|---|
| end_date | string | – | – |
| limit | integer | – | – |
| start_date | string | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
body_comp_trend ~105
Track body composition over time — weight, body fat, training volume, energy balance. Answers: am I gaining muscle or fat? Combines weight trend with body fat, training volume, and calorie surplus/deficit. Args: start_date: Start date (YYYY-MM-DD). Default: 90 days ago. end_date: End date (YYYY-MM-DD). Default: today.
| Name | Type | Req | Description |
|---|---|---|---|
| end_date | string | – | – |
| start_date | string | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
clear_data ~20
Clear all imported data so you can reimport fresh exports.
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
daily_briefing ~78
Complete day view combining MacroFactor nutrition + Garmin health data. The cross-data tool — shows nutrition, adherence, body, activity, sleep, and training in one view. No API calls — reads from DuckDB. Args: date_str: Date in YYYY-MM-DD format. Empty = today.
| Name | Type | Req | Description |
|---|---|---|---|
| date_str | string | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
data_status ~24
Check what data is currently loaded — date ranges, row counts, last import.
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
detect_phases ~88
Auto-detect cut/bulk/maintenance phases from weight trend and energy balance. Analyzes the full history and identifies distinct phases based on trend weight direction and caloric balance. Each phase shows duration, weight change, and average deficit/surplus. Args: min_days: Minimum days for a phase to be reported (default 14).
| Name | Type | Req | Description |
|---|---|---|---|
| min_days | integer | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
garmin_status ~77
Quick Garmin health snapshot for a date. No API calls — reads from synced DuckDB data. Combines daily stats, sleep, and training status in one view. Run sync_garmin first to populate data. Args: date_str: Date in YYYY-MM-DD format. Empty = today.
| Name | Type | Req | Description |
|---|---|---|---|
| date_str | string | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
get_combined_data ~123
Unified cross-domain query — returns merged nutrition + health data by date. One call replaces multiple tool calls. Returns all requested domains in one payload. Args: start_date: Start date (YYYY-MM-DD). Default: 7 days ago. end_date: End date (YYYY-MM-DD). Default: today. domains: List of domains to include. Options: nutrition, weight, sleep, training, activity, workouts. Default: all.
| Name | Type | Req | Description |
|---|---|---|---|
| domains | – | – | – |
| end_date | string | – | – |
| start_date | string | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
get_compliance_report ~63
Compare actual intake vs targets over a date range. Shows adherence. Args: start_date: Start date (YYYY-MM-DD) end_date: End date (YYYY-MM-DD)
| Name | Type | Req | Description |
|---|---|---|---|
| end_date | string | yes | – |
| start_date | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
get_digest ~93
Get a comprehensive weekly or monthly digest combining nutrition, weight, training, and adherence. One call instead of five — gives a complete picture of a period. Args: period: "week" (last 7 days) or "month" (last 30 days). end_date: End date (YYYY-MM-DD). Default: today.
| Name | Type | Req | Description |
|---|---|---|---|
| end_date | string | – | – |
| period | string | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
get_exercise_progress ~133
Track progress for a specific exercise over time. Args: exercise: Exercise name (case-insensitive, partial match). metric: One of: estimated_1rm, estimated_3rm, estimated_10rm, total_volume, best_set_volume, heaviest_weight, total_reps, best_set_reps, total_sets, total_duration, best_set_duration, total_distance, best_set_distance. limit: Max data points to return (default 20, most recent).
| Name | Type | Req | Description |
|---|---|---|---|
| exercise | string | yes | – |
| limit | integer | – | – |
| metric | string | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
get_food_log ~42
Get all foods logged on a specific date. Args: date_str: Date (YYYY-MM-DD). Default: today.
| Name | Type | Req | Description |
|---|---|---|---|
| date_str | string | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
get_insights ~110
Get personalized insights based on your nutrition, training, sleep, and recovery data. Analyzes cross-domain patterns specific to YOUR data. Includes: - Current state (phase, weight trajectory, weekly nutrition pacing) - Trend alerts (sleep, HRV, body battery, compliance changes) - Personal correlations (what actually affects YOUR recovery) - Actionable recommendations prioritized by urgency - Sparkline trends for key metrics Works best with both MacroFactor and Garmin data synced. No arguments needed — analyzes everything automatically.
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
get_muscle_group_summary ~67
Get muscle group sets and volume summary. Defaults to last 7 days. Args: start_date: Start date (YYYY-MM-DD) end_date: End date (YYYY-MM-DD)
| Name | Type | Req | Description |
|---|---|---|---|
| end_date | string | – | – |
| start_date | string | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
get_nutrition_range ~60
Get daily nutrition data for a date range. Args: start_date: Start date (YYYY-MM-DD) end_date: End date (YYYY-MM-DD)
| Name | Type | Req | Description |
|---|---|---|---|
| end_date | string | yes | – |
| start_date | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
get_nutrition_summary ~44
Get nutrition summary for a specific date. Args: date_str: Date in YYYY-MM-DD format. Empty = today.
| Name | Type | Req | Description |
|---|---|---|---|
| date_str | string | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
get_weight_trend ~73
Get weight trend data. Defaults to last 30 days. Args: start_date: Start date (YYYY-MM-DD). Default: 30 days ago. end_date: End date (YYYY-MM-DD). Default: today.
| Name | Type | Req | Description |
|---|---|---|---|
| end_date | string | – | – |
| start_date | string | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
get_workout_history ~68
Get a summary of all workouts in a date range. Defaults to last 30 days. Args: start_date: Start date (YYYY-MM-DD) end_date: End date (YYYY-MM-DD)
| Name | Type | Req | Description |
|---|---|---|---|
| end_date | string | – | – |
| start_date | string | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
get_workout_log ~44
Get workout details for a specific date. Args: date_str: Date (YYYY-MM-DD). Default: most recent workout.
| Name | Type | Req | Description |
|---|---|---|---|
| date_str | string | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
import_export ~74
Import a MacroFactor .xlsx export file into the database. Supports both Quick Export and All-Time Data formats. If filename is empty, auto-detects the most recent .xlsx in the data directory. Args: filename: Path to .xlsx file, or empty to auto-detect.
| Name | Type | Req | Description |
|---|---|---|---|
| filename | string | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
list_exercises ~17
List all tracked exercises with available metrics.
Input schema present but exposes no named parameters.
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
nutrition_performance_correlation ~103
Correlate nutrition intake with next-day training metrics. Shows whether protein/calorie intake patterns affect next-day body battery, HRV, and workout performance. Splits days into high/low intake buckets. Args: start_date: Start date (YYYY-MM-DD). Default: 30 days ago. end_date: End date (YYYY-MM-DD). Default: today.
| Name | Type | Req | Description |
|---|---|---|---|
| end_date | string | – | – |
| start_date | string | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
query ~303
Run a custom SQL query against the MacroFactor database. Available tables: - daily: date, calories, macros, targets, weight, expenditure, steps, micros - food_log: date, time, food details (from Quick Export) - workouts: date, exercise, sets, reps, weight (from Quick Export) - muscle_sets: date, muscle_group, sets - muscle_volume: date, muscle_group, volume_kg - exercise_tracking: date, exercise, metric, value (from All-Time) - body_metrics: date, metric, value - custom_foods: food_name, nutrition info - nutrition_targets: program_date, weekday, targets - food_log_notes: date, name, note - garmin_daily_stats: date, steps, calories, HR, stress, body battery - garmin_activities: activity_id, date, type, duration, distance, HR, power - garmin_sleep: date, sleep phases, score, HRV, SpO2 - garmin_training_status: date, status, VO2max, training load, FTP - garmin_body_fat: date, body_fat_pct - garmin_sync_log: sync history Use `data_status` to see what's loaded. Args: sql: SQL query (read-only SELECT statements only).
| Name | Type | Req | Description |
|---|---|---|---|
| sql | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
recovery_check ~68
Readiness assessment — should you train hard today? Combines last night's sleep, body battery, training load ratio, and yesterday's nutrition compliance into a single readiness view. Args: date_str: Date to check (YYYY-MM-DD). Default: today.
| Name | Type | Req | Description |
|---|---|---|---|
| date_str | string | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
search_food ~63
Search logged foods by name across all dates. Also searches custom foods if no log results found. Args: query: Search term (case-insensitive). limit: Max results (default 20).
| Name | Type | Req | Description |
|---|---|---|---|
| limit | integer | – | – |
| query | string | yes | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
setup_check ~68
Check local setup and explain the easiest next action. Use this first when the MCP seems empty, stale, misconfigured, or when you are not sure which tool to call next. Args: show_workflows: Include common question-to-tool workflows.
| Name | Type | Req | Description |
|---|---|---|---|
| show_workflows | boolean | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
sleep_analysis ~95
Analyze what affects sleep quality — prior-day training, calories, timing. Correlates sleep scores with training intensity, total calories, and meal timing from the preceding day. Args: start_date: Start date (YYYY-MM-DD). Default: 30 days ago. end_date: End date (YYYY-MM-DD). Default: today.
| Name | Type | Req | Description |
|---|---|---|---|
| end_date | string | – | – |
| start_date | string | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
sync_garmin ~85
Sync Garmin health data into local DuckDB for fast cross-queries with MacroFactor data. Pulls daily stats, activities, sleep, training status, and body fat from Garmin Connect for the last N days. Data is upserted (idempotent). Args: days: Number of days to sync (default 7).
| Name | Type | Req | Description |
|---|---|---|---|
| days | integer | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
weekly_report ~83
Comprehensive 7-day report — nutrition, workouts, sleep, body, activity in one call. Includes daily detail for weight and nutrition, full workout breakdown with merged MacroFactor + Garmin strength data, sleep trends, and training load. Args: end_date: Last day of the week (YYYY-MM-DD). Default: today.
| Name | Type | Req | Description |
|---|---|---|---|
| end_date | string | – | – |
| Name | Type | Req | Description |
|---|---|---|---|
| result | string | yes | – |
No examples provided.
What is the io.github.NasserAlbusaidi/macrofactor-mcp server?
io.github.NasserAlbusaidi/macrofactor-mcp is listed in the public MCP registry as io.github.NasserAlbusaidi/macrofactor-mcp. Fueling & recovery decision engine combining MacroFactor nutrition with Garmin training data. This page covers its PyPI package (macrofactor-mcp).
Is the io.github.NasserAlbusaidi/macrofactor-mcp server safe to use?
io.github.NasserAlbusaidi/macrofactor-mcp scores 79 out of 100 on VerifyMCP. We found no known CVEs affecting it as of 20 September 2026. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.
What tools does the io.github.NasserAlbusaidi/macrofactor-mcp server expose?
io.github.NasserAlbusaidi/macrofactor-mcp exposes 29 tools: setup_check, import_export, clear_data, data_status, query, and 24 more. Their descriptions and schemas cost roughly 2,399 tokens of context every time the server is loaded.
Is the io.github.NasserAlbusaidi/macrofactor-mcp server still maintained?
io.github.NasserAlbusaidi/macrofactor-mcp is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.