Garmin Connect (treinos)

List, fetch, create, edit (replace), delete and schedule structured workouts on Garmin Connect (runn

От сообществаРаботаетБез входаГлобальныйБесплатноМожет изменять данные

Что умеет

Какие данные видит

Нужен ли аккаунт

Не нужен: сервер работает без входа

List, fetch, create, edit (replace), delete and schedule structured workouts on Garmin Connect (runn

Список инструментов сервера (16)

Технические названия из tools/list. Нужны только разработчикам.

garmin_list_accounts	List all Garmin logins linked to this install (id, email, label, created_at).
garmin_list_workouts	List saved workouts from Garmin Connect (workout-service). Returns summaries plus raw_data (full JSON string from Garmin).
garmin_get_workout	Get one workout template by workout_id (full structure: segments, steps, targets). Includes raw_data JSON string. Bulk support: accepts workout_ids for batched execution.
garmin_submit_workout	Create a new structured workout on Garmin Connect. Body must match Garmin API (workoutName, sportType, workoutSegments with ExecutableStepDTO / RepeatGroupDTO). You may omit displayOrder/displayable everywhere and the endCondition on RepeatGroupDTO — the server normalizes them automatically (see workout.description). Multi-sport: sportTypeKey multi_sport (typically sportTypeId 5) with one segment per discipline. Returns workout_id and raw_data.
garmin_edit_workout	Replace a workout: uploads a new workout from payload, then deletes workout_id (no native PUT). Returns new workout_id and previous_workout_id. Bulk support: accepts workout_ids for batched execution.
garmin_delete_workout	Delete a workout template from Garmin Connect by workout_id. Bulk support: accepts workout_ids for batched execution.
garmin_schedule_workout	Schedule an existing workout onto the calendar. date must be YYYY-MM-DD (or ISO-8601 date prefix). Returns Garmin schedule response as raw_data. Bulk support: accepts workout_ids for batched execution.
garmin_list_scheduled_workouts	List calendar scheduled workouts for a given month/year from Garmin calendar-service.
garmin_get_scheduled_workout	Get one scheduled workout entry by scheduled_workout_id. Bulk support: accepts scheduled_workout_ids for batched execution.
garmin_unschedule_workout	Remove workout from calendar by scheduled_workout_id (does not delete the workout template). Bulk support: accepts scheduled_workout_ids for batched execution.
show_version	Show the current MCP platform and adapter versions.
report_bug	Report a bug, missing feature, or send feedback. Include the conversation array with recent messages for reproduction.
connect	Returns connection status and URLs. When all providers are connected, returns authenticated:true and empty pending[]. When credentials are missing, returns connect_url for the toolkit and per-install URLs.
toolkit_info	Returns the current toolkit state: installed MCPs, their connection status, the accounts connected to each one, and how many catalog tools each exposes.
marketplace	The official mcp.ai marketplace — the in-platform catalog of every MCP/tool, AND the way to run them. Covers capability requests like "find an MCP that does X", "consulta um CPF", "is there a tool for Y". Core flow: action=search discovers MCPs by intent → describe returns one MCP's full profile (every tool with its id + params, pricing, auth) so you pick the right tool_id → invoke RUNS that tool. KEY: invoke works even when the MCP is NOT installed — it runs the tool pontualmente (one-off), without adding the MCP to the toolkit and without bloating the tool list. If the MCP needs a credential/login, invoke returns a connect link; if it is paid and the wallet is empty, invoke returns a checkout/top-up link (the user opens it, then you retry). Use install only to make an MCP PERMANENT in the active toolkit (its tools then show up natively in future sessions); prefer invoke for a single/occasional use. list_tools lists what is callable right now. subscribe/cancel handle per-MCP billing; report_bug sends feedback; request_mcp asks us to build a NEW MCP when nothing fits. Search/describe flag installed_in_toolkit vs installed_in_workspace. Writes (install/uninstall/subscribe/cancel and the one-off install behind invoke) require workspace owner/admin. It also carries the mcp.ai PROMPT LIBRARY, which is about ready-made prompt TEXT rather than MCPs: search_prompts finds one, get_prompt returns its full text with {{variables}} filled, and publish_prompt saves a prompt and returns a shareable mcp.ai/p/<slug> link that opens without login.
authenticate	MCP.AI for IDE agents (Cursor, etc.): log in in the browser, copy the access token. Best: add it to this server's config as a header `Authorization: Bearer <token>` for a permanent, non-expiring connection. Or paste it here for a session-only login: call with { token: "<jwt>" } after the user pastes, or with no args to get the link.