Smart Gym
БесплатноНе проверенConnects AI assistants to SmartGym on Mac, enabling users to review workouts, tweak routines, and build training programs in plain English, with changes syncing
Описание
Connects AI assistants to SmartGym on Mac, enabling users to review workouts, tweak routines, and build training programs in plain English, with changes syncing to iPhone and Apple Watch.
README
Talk to your workouts. An MCP server that connects AI assistants like Claude to SmartGym on your Mac — so you can review your training, tweak routines, and build whole programs in plain English, and watch them sync to your iPhone and Apple Watch.
Why
SmartGym is a great workout tracker, but building and evolving a training program is still a lot of tapping. Meanwhile, AI assistants are genuinely good at programming workouts — they just had no way to reach your data.
This server bridges that gap. Your workout history, routines, and equipment become something you can have a conversation with:
- "How has my bench press progressed over the last 3 months?"
- "Add face pulls to my pull day, 3×12, after the rows."
- "Build me a 3-day full-body comeback program based on what I was lifting in May, using only equipment I own."
Changes land in SmartGym itself — not a parallel app — so your data stays in one place and syncs everywhere via SmartGym's own engine.
What it can do
Read — health check, list routines, routine details, workout history, your equipment.
Write — create complete training programs, add / update / remove / reorder exercises, rename and edit routines. Every write is verified to sync across devices.
Safely — the server backs up the database before every write, only writes while the app is closed (it quits and relaunches SmartGym itself, which triggers sync), and refuses anything it can't do safely. Reads are strictly read-only.
Quick start
Requirements: macOS with SmartGym, Python ≥ 3.11, uv.
git clone https://github.com/sla1k/smart-gym-mcp
cd smart-gym-mcp
uv sync
Add it to your MCP client — e.g. Claude Code:
claude mcp add smartgym -- uv run --directory /path/to/smart-gym-mcp smartgym-mcp
or Claude Desktop (claude_desktop_config.json):
{
"mcpServers": {
"smartgym": {
"command": "uv",
"args": ["run", "--directory", "/path/to/smart-gym-mcp", "smartgym-mcp"]
}
}
}
Then ask your assistant to call smartgym_health — { ok: true, ... } means you're connected.
Configuration
Works out of the box with a standard SmartGym install. Env vars if you need them:
| Var | Default | Purpose |
|---|---|---|
SMARTGYM_DB_PATH |
SmartGym's container path | database location |
SMARTGYM_BACKUP_DIR |
~/.smartgym-mcp/backups |
pre-write backups |
Contributing
Issues and PRs welcome. Design notes live in DESIGN.md, ideas in FEATURES.md.
uv run pytest # tests never touch your real data
uv run ruff check src tests && uv run mypy src
Disclaimer
This is an unofficial, personal project — not affiliated with or endorsed by the makers of SmartGym. It reads and writes the app's local database directly; use at your own risk and keep backups (the server makes one before every write).
License
Установка Smart Gym
У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.
▸ github.com/sla1k/smart-gym-mcpFAQ
Smart Gym MCP бесплатный?
Да, Smart Gym MCP бесплатный — установка в пару кликов через Unyly без оплаты.
Нужен ли API-ключ для Smart Gym?
Нет, Smart Gym работает без API-ключей и переменных окружения.
Smart Gym — hosted или self-hosted?
Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.
Как установить Smart Gym в Claude Desktop, Claude Code или Cursor?
Открой Smart Gym на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.
Похожие MCP
Fetch
Web content fetching and conversion for efficient LLM usage.
AWS KB Retrieval
Retrieval from AWS Knowledge Base using Bedrock Agent Runtime.
автор: modelcontextprotocolSpring AI MCP Server
Provides auto-configuration for setting up an MCP server in Spring Boot applications.
llm-analysis-assistant
A very streamlined mcp client that supports calling and monitoring stdio/sse/streamableHttp, and can also view request responses through the /logs page. It also
автор: xuzexin-hzCompare Smart Gym with
Не уверен что выбрать?
Найди свой стек за 60 секунд
Автор?
Embed-бейдж для README
Похожее
Все в категории ai
