Garmin (stitrace) MCP Server
garmin-mcp-server
PyPI
v0.3.4
Published by stitrace — no publish provenance, so origin is unverified, but the source is public: the repository link below is self-declared yet readable, so you can inspect the code before adopting it.
A comprehensive Model Context Protocol (MCP) server for Garmin Connect — bring your health, fitness and activity data to any LLM.
The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.
1. Threat score — 100 − 0 = 100. What the published surface and source actually contain:
The deterministic scan raised no scored threat in the surface it inspected — the threat score stayed at 100. Capability observations and advisory notes are recorded but never lower it.
2. Client adoption risk — 100 − 4 = 96. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:
| Points | Adoption-risk factor |
|---|---|
| −3 | capability blast radius (moderate) — client exposure if the model is manipulated |
| −1 | publisher verification (public source) — no provenance, but the source is public and inspectable |
Capability observations and info notes are shown under Findings but never scored.
Open any row's finding below for the file, line and evidence behind a deduction.
Findings 0
Tools 48
Each tool and what it can reach — statically extracted from the published source.
download_activityingests untrusted inputadd_weigh_inno sensitive capabilityconnect_apino sensitive capabilitycount_activitiesno sensitive capabilityget_activitiesno sensitive capabilityget_activities_by_dateno sensitive capabilityget_activityno sensitive capabilityget_activity_detailsno sensitive capabilityget_activity_hr_zonesno sensitive capabilityget_activity_splitsno sensitive capability
Show 38 more tools ↓
get_activity_weatherno sensitive capabilityget_blood_pressureno sensitive capabilityget_body_batteryno sensitive capabilityget_body_compositionno sensitive capabilityget_daily_stepsno sensitive capabilityget_daily_summaryno sensitive capabilityget_device_last_usedno sensitive capabilityget_devicesno sensitive capabilityget_earned_badgesno sensitive capabilityget_fitness_ageno sensitive capabilityget_floorsno sensitive capabilityget_full_nameno sensitive capabilityget_gearno sensitive capabilityget_goalsno sensitive capabilityget_heart_ratesno sensitive capabilityget_hill_scoreno sensitive capabilityget_hrvno sensitive capabilityget_hydrationno sensitive capabilityget_max_metricsno sensitive capabilityget_menstrual_datano sensitive capabilityget_personal_recordsno sensitive capabilityget_progress_summaryno sensitive capabilityget_race_predictionsno sensitive capabilityget_respirationno sensitive capabilityget_resting_heart_rateno sensitive capabilityget_sleepno sensitive capabilityget_spo2no sensitive capabilityget_stats_and_bodyno sensitive capabilityget_stepsno sensitive capabilityget_stressno sensitive capabilityget_training_readinessno sensitive capabilityget_training_statusno sensitive capabilityget_unit_systemno sensitive capabilityget_user_profileno sensitive capabilityget_weigh_insno sensitive capabilityget_workoutno sensitive capabilityget_workoutsno sensitive capabilityset_activity_nameno sensitive capability
What this scan could not see
- Tools were statically extracted from the published source (48 recovered), not enumerated from a running server. Tool-poisoning, Unicode-smuggling, capability and toxic-flow analysis ran on this inferred surface, but a mis-parsed registration could be missed or mis-attributed, so tool-derived findings are capped below “confirmed”. To grade the real runtime surface, scan the running server: --command "npx -y <package>".
Versions 2
Scan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.
| Version | Score | Findings | Engine | Scanned |
|---|---|---|---|---|
v0.3.4 latest |
A 96/100 | 0 | 1.13.0 | 2026-08-25 |
v0.3.3 |
A 96/100 | 0 | 1.9.0 | 2026-07-23 |
Embed this score
Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.
Verify this score yourself
The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.
npx mcptrustchecker scan garmin-mcp-server --online --registry pypiOther implementations of Garmin 2
Independent packages implementing the same tool, scanned with the same engine. Compare all 3 side by side →
MCP server exposing Garmin Connect data to Claude.
MCP server for Garmin Connect health and fitness data
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