MCP.Market

Garmin Connect (treinos) MCP server

online · 100% uptime
by mcp-dir·io.github.mcp-dir/garmin-mcp·v0.1.0

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

B72/100grade B
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B72/100

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Garmin Connect (treinos) tools (16, 3 write)

write = sends, deletes, buys or posts
  • authenticateFree

    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.

  • connectFree

    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.

  • garmin_delete_workoutwrite actionFree

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

  • garmin_edit_workoutFree

    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_workoutFree

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

  • garmin_get_workoutFree

    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_accountsFree

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

  • garmin_list_scheduled_workoutsFree

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

  • garmin_list_workoutsFree

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

  • garmin_schedule_workoutFree

    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_workoutwrite actionFree

    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_workoutwrite actionFree

    Remove workout from calendar by scheduled_workout_id (does not delete the workout template). Bulk support: accepts scheduled_workout_ids for batched execution.

  • marketplaceFree

    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_bugFree

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

  • show_versionFree

    Show the current MCP platform and adapter versions.

  • toolkit_infoFree

    Returns the current toolkit state: installed MCPs, their connection status, the accounts connected to each one, and how many catalog tools each exposes.

Public scan report

scanner v0.1.9 · 2026-09-27 · same rubric, same numbers if you re-run it

1 high
  • –Code scanremote-only server, no package to scann/a
  • Live reliabilityremote reachable in 5536ms12/20
  • Tool poisoning16 tool descriptions checked15/15
  • Auth qualityopen endpoint exposes 3 write-action tools with no auth3/15
  • Maintenancelast push 27 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year9/10

Findings (1)

  • highWrite-action tools reachable without authenticationauth.open-write
Overall 72/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Garmin Connect (treinos) compares

Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
72/100
higher than 38% of 48,255 servers
Tools
16
the typical server has 7
Tools that change things
19%
typical: 0%. Fewer write tools means less an agent can break
Uptime
100%
of our recent checks; the typical remote server answers 100%
Response time
122 ms
faster than 79% of 30,031 servers

What its tools let an agent do: 12 read · 4 change

Install Garmin Connect (treinos) in Claude Code, Cursor or VS Code

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

What the publisher says

From the Garmin Connect (treinos) repository's README, as published. We do not edit it. Read it on GitHub

Garmin Connect (treinos)

Garmin Connect (treinos) para Claude, Cursor e agentes de IA

Listar, obter, criar, editar (substituir), apagar e agendar treinos estruturados no Garmin Connect (corrida, ciclismo, natação, multi-sport / triatlo). Usa a API não oficial via sessão Garmin (email + senha); tokens OAuth são guardados encriptados para reduzir logins.

  • 📊 0 ferramentas
  • 🔒 Somente leitura
  • 💬 Funciona com qualquer cliente MCP: Claude Desktop, Cursor, VS Code, Cline, Continue
  • 🔑 Login via magic-link (sem senha)

English version · Documentação completa · Skill pra agentes

Instalar em 1 clique

Claude (Web e Desktop)

A Anthropic unificou a instalação de MCPs em claude.ai/customize/connectors. O mesmo link serve pra Claude Web e Claude Desktop (basta estar logado):

➕ Abrir no Claude e conectar&mcpServerUrl=https%3A%2F%2Fapi.mcp.ai%2Fp_garmin)

Manual (se o deeplink não abrir): claude.ai/customize/connectors → + → Adicionar conector personalizado → cole Nome Garmin Connect (treinos) e URL https://api.mcp.ai/p_garmin.

Cursor

➕ Instalar Garmin Connect (treinos) no Cursor

VS Code (Copilot Chat)

➕ Instalar Garmin Connect (treinos) no VS Code

ChatGPT, Manus, OpenClaw e mais 40+ clientes

Funciona em qualquer cliente MCP que suporte MCP over HTTP. A URL do servidor é sempre:

https://api.mcp.ai/p_garmin

Detalhes por cliente: INSTALL.md.

Exemplos de uso

Crie um treino de corrida intervalado e agende pra amanhã
Liste meus treinos da próxima semana
Edite o treino de bike de quinta pra um Z2 longo

0 ferramentas disponíveis

Detalhe de cada tool: docs/ferramentas.md

Preços

Grátis.

Privacidade & LGPD

  • Somente leitura, nenhuma ferramenta altera dados na origem.
  • Sub-processadores: o LLM host que você escolher (Claude, ChatGPT, Cursor, agente próprio). Lista completa em docs/privacidade-lgpd.md.
  • Os dados retornados pelas tools são enviados ao LLM host que você escolher, sub-processador fora do nosso controle. Recomendamos planos com opt-out de treinamento.

Perguntas frequentes

O servidor é open source? O servidor é proprietário (hosted). Este repositório é o wrapper público com manifestos, docs e skills — tudo MIT.

Posso usar com agente próprio (não Claude/Cursor)? Sim — qualquer cliente que suporte MCP over HTTP. URL: https://api.mcp.ai/p_garmin.

Suporte

  • 📧 garmin@mcp.ai
  • 🐛 GitHub Issues
  • 📄 docs/

Licença

MIT — veja LICENSE. O servidor MCP em api.mcp.ai/p_garmin é proprietário (hosted); este repositório (manifestos, docs, skills) é MIT.

Nothing above is checked by us. What we check is on the safety report.

Garmin Connect (treinos): common questions

Is Garmin Connect (treinos) MCP server safe?
Mostly: it is graded B (72/100). Read the Garmin Connect (treinos) safety report
How do I install Garmin Connect (treinos)?
It runs remotely at api.mcp.ai. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does Garmin Connect (treinos) need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Garmin Connect (treinos) maintained?
The last commit was 66 days ago (2026-08-30). The latest release is v0.1.0.
Is Garmin Connect (treinos) up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
How does Garmin Connect (treinos) compare with other MCP servers?
safety score 72/100 (higher than 38% of 48,255 servers); tools 16 (the typical server has 7); tools that change things 19% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

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