Garmin Connect (treinos) MCP Server

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answering

Garmin Connect (treinos) is answering right now. Last checked 14 min ago. It exposes 16 tools. Last commit 11 Jun 2026.

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

Uptime history 47 days of history · worst day 95%

47 days agonow

100.0%

Uptime 24h

91 of 91 checks

Tools

read from the server

913 ms

Response time

average over 24h

Stars

last commit 11 Jun 2026

What changed 117

Every tool that appeared, vanished or quietly changed what it asks for. Recorded since 8 August 2026. No other catalogue keeps this.

13 Sep a tool changed version2 times that day

9 Sep a tool changed version

8 Sep a tool changed version

7 Sep a tool changed version

6 Sep a tool changed version

5 Sep a tool changed version

4 Sep a tool changed version

3 Sep a tool changed version3 times that day

2 Sep a tool changed version6 times that day

1 Sep a tool changed version2 times that day

and 107 more, back to 8 August 2026

Garmin Connect (treinos) does not always answer

Over the last week it answered 98.7% of our checks. We check every 15 minutes, so you hear about the next outage within the hour — not from your users.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 14 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add garmin-mcp --transport http https://api.mcp.ai/p_garmin

~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "garmin-mcp": {
      "url": "https://api.mcp.ai/p_garmin"
    }
  }
}

~/.codex/config.toml

[mcp_servers.garmin-mcp]
url = "https://api.mcp.ai/p_garmin"

.cursor/mcp.json

{
  "mcpServers": {
    "garmin-mcp": {
      "url": "https://api.mcp.ai/p_garmin"
    }
  }
}

.vscode/mcp.json

{
  "mcpServers": {
    "garmin-mcp": {
      "url": "https://api.mcp.ai/p_garmin"
    }
  }
}

Available tools 16

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

garmin

garmin_delete_workout

Delete a workout template from Garmin Connect by workout_id. Bulk support: accepts workout_ids for batched execution.

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_get_scheduled_workout

Get one scheduled workout entry by scheduled_workout_id. Bulk support: accepts scheduled_workout_ids for batched execution.

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_list_accounts

List all Garmin logins linked to this install (id, email, label, created_at).

garmin_list_scheduled_workouts

List calendar scheduled workouts for a given month/year from Garmin calendar-service.

garmin_list_workouts

List saved workouts from Garmin Connect (workout-service). Returns summaries plus raw_data (full JSON string from Garmin).

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_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_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.

authenticate

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.

connect

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.

marketplace

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.

report

report_bug

Report a bug, missing feature, or send feedback. Include the conversation array with recent messages for reproduction.

show

show_version

Show the current MCP platform and adapter versions.

toolkit

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.

Endpoints

URL	Transport	State	Latency	Checked
https://api.mcp.ai/p_garmin	streamable-http	answering	3209 ms	14 min ago

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Garmin Connect (treinos) — questions

Answers built from our own checks of this server.

What can Garmin Connect (treinos) do?

It exposes 16 tools, read directly from the server on our last check. Among them: authenticate, connect, garmin_delete_workout, garmin_edit_workout, garmin_get_scheduled_workout, garmin_get_workout and 10 more. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is Garmin Connect (treinos) working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 913 ms. The bar chart above shows every period we have measured.

How do I connect Garmin Connect (treinos)?

Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does Garmin Connect (treinos) need an API key?

No. Garmin Connect (treinos) completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 16 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is Garmin Connect (treinos)?

It answers our handshake in 913 ms on average, which is faster than 11% of all working MCP servers we measure. That is on the slow side — worth knowing if the tool sits inside an interactive loop. The comparison comes from our own checks across the whole registry, every 15 minutes.

Is Garmin Connect (treinos) open source?

Yes — it is published under the MIT licence and 0 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.