wger-mcp
npm
v0.1.2
Published by an unidentified publisher — no publish provenance and no public repository, so the publisher could not be verified and the source cannot be independently located.
Model Context Protocol server for the Wger workout and nutrition tracker API
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 − 2 = 98. 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 |
|---|---|
| −2 | publisher verification (unlinked) — no provenance/repo link, but the shipped source was fully read |
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.
Each tool and what it can reach — statically extracted from the published source.
create_dayno sensitive capabilitycreate_gallery_imageno sensitive capabilitycreate_mealno sensitive capabilitycreate_meal_itemno sensitive capabilitycreate_nutrition_diary_entryno sensitive capabilitycreate_nutrition_planno sensitive capabilitycreate_routineno sensitive capabilitycreate_slotno sensitive capabilitycreate_slot_entryno sensitive capabilitycreate_weight_entryno sensitive capabilitycreate_workout_logno sensitive capabilitycreate_workout_sessionno sensitive capabilityget_dayno sensitive capabilityget_exerciseno sensitive capabilityget_gallery_imageno sensitive capabilityget_ingredientno sensitive capabilityget_ingredient_imageno sensitive capabilityget_ingredient_valuesno sensitive capabilityget_ingredient_weight_unitno sensitive capabilityget_mealno sensitive capabilityget_meal_itemno sensitive capabilityget_meal_item_nutritional_valuesno sensitive capabilityget_meal_nutritional_valuesno sensitive capabilityget_nutrition_diary_entryno sensitive capabilityget_nutrition_diary_nutritional_valuesno sensitive capabilityget_nutrition_planno sensitive capabilityget_nutrition_plan_nutritional_valuesno sensitive capabilityget_routineno sensitive capabilityget_routine_date_sequence_displayno sensitive capabilityget_routine_date_sequence_gymno sensitive capabilityget_routine_logsno sensitive capabilityget_routine_statsno sensitive capabilityget_routine_structureno sensitive capabilityget_slotno sensitive capabilityget_slot_entryno sensitive capabilityget_weight_entryno sensitive capabilityget_wger_statusno sensitive capabilityget_workout_logno sensitive capabilityget_workout_sessionno sensitive capabilitylist_daysno sensitive capabilitylist_equipmentno sensitive capabilitylist_exercise_categoriesno sensitive capabilitylist_exercisesno sensitive capabilitylist_gallery_imagesno sensitive capabilitylist_ingredient_imagesno sensitive capabilitylist_ingredient_weight_unitsno sensitive capabilitylist_ingredientsno sensitive capabilitylist_meal_itemsno sensitive capabilitylist_mealsno sensitive capabilitylist_musclesno sensitive capabilitylist_nutrition_diary_entriesno sensitive capabilitylist_nutrition_plansno sensitive capabilitylist_routinesno sensitive capabilitylist_slot_entriesno sensitive capabilitylist_slotsno sensitive capabilitylist_weight_entriesno sensitive capabilitylist_workout_logsno sensitive capabilitylist_workout_sessionsno sensitive capabilitysearch_exercisesno sensitive capabilitysearch_ingredientsno sensitive capabilityupdate_dayno sensitive capabilityupdate_gallery_imageno sensitive capabilityupdate_mealno sensitive capabilityupdate_meal_itemno sensitive capabilityupdate_nutrition_diary_entryno sensitive capabilityupdate_nutrition_planno sensitive capabilityupdate_routineno sensitive capabilityupdate_slotno sensitive capabilityupdate_slot_entryno sensitive capabilityupdate_weight_entryno sensitive capabilityupdate_workout_logno sensitive capabilityupdate_workout_sessionno sensitive capabilityScan 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 |
|---|---|---|---|---|
v0.1.2 latest |
A 98/100 | 0 | 1.13.0 | 2026-09-07 |
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.
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 wger-mcp --online
Independent packages implementing the same tool, scanned with the same engine. Compare all 2 side by side →
MCP server for Australian address search and validation via Addressr
Admissions data & match scores for law, medical, dental, MBA, pharmacy, vet, optometry schools
Live AI data for agents: model releases, regulations (EU AI Act), GenAI glossary, daily news.
AirTreks MCP Server — complex flight routing intelligence for AI agents. Plan multi-city trips, validate alliance routings, get carrier recommendations, and create trip ideas.
Physician-reviewed medical opinions and prescriptions for AI agents.
Thin MCP server + CLI that proxy the atrium /api/v1 observability surface using an oc_live_ Bearer key. Talks HTTP only — no Convex imports.