Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
作者提供的说明(英文原文)
Manage Garmin Connect workouts, including strength workouts with mapped exercises.
这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。
我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。
选择你使用的 AI 应用,然后复制设置。
GARMIN_EMAIL, GARMIN_PASSWORD标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。
你需要
你用的是哪个应用?
在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。
打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json
{
"mcpServers": {
"garmin-workouts": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"GARMIN_EMAIL",
"-e",
"GARMIN_PASSWORD",
"ghcr.io/pranciskus/garmin-workouts-mcp:0.1.2"
],
"env": {
"GARMIN_EMAIL": "your-value",
"GARMIN_PASSWORD": "your-value"
}
}
}
}在终端中运行这条命令
claude mcp add garmin-workouts --env GARMIN_EMAIL=your-value --env GARMIN_PASSWORD=your-value -- docker run -i --rm -e GARMIN_EMAIL -e GARMIN_PASSWORD ghcr.io/pranciskus/garmin-workouts-mcp:0.1.2运行前请先填写空着的值。
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"garmin-workouts": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"GARMIN_EMAIL",
"-e",
"GARMIN_PASSWORD",
"ghcr.io/pranciskus/garmin-workouts-mcp:0.1.2"
],
"env": {
"GARMIN_EMAIL": "your-value",
"GARMIN_PASSWORD": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"garmin-workouts": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"GARMIN_EMAIL",
"-e",
"GARMIN_PASSWORD",
"ghcr.io/pranciskus/garmin-workouts-mcp:0.1.2"
],
"env": {
"GARMIN_EMAIL": "your-value",
"GARMIN_PASSWORD": "your-value"
}
}
}
}浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。
这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。
你的选择通过 Cookie 保存在这台设备上,无需账户。
这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月9日
注册名称已通过 GitHub 账户 pranciskus 验证,该账户拥有此仓库
我们还没有从 GitHub 读取这个仓库
我们还没有从 GitHub 读取这个仓库
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
你需要填写:GARMIN_EMAIL, GARMIN_PASSWORD
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于–,最新版本(0.1.2)于8个月前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Docker。
同一分类中有:Spec Driven Development, Remote Desktop Commander, CloudGPU MCP
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Rent a per-minute GPU from your MCP client, run a job, download results, shut it down.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
garmin-workouts-mcp is a standalone MCP server for Garmin Connect workouts.
It is intended as a focused extension for workflows that need a bit more structure around Garmin workout payloads, especially strength training.
This project is packaged as a stdio MCP server and can be published as an OCI image for MCP registries and Glama deployment. It is not a standalone public HTTP MCP endpoint.
reps end conditions.preview_workout_payload so payloads can be inspected before upload.validate_workout for early schema and mapping errors.resolve_supported_strength_exercise for quick mapping checks.get_workout_input_schema for machine-readable client integration.walking as a supported sport type, which is also reflected in the prompt/schema.Garmin-backed tools authenticate lazily when they are called:
GARMIN_EMAIL and GARMIN_PASSWORDThe server can start without credentials. Tools that do not talk to Garmin, such as payload preview and schema inspection, still work without secrets.
The upload and preview tools accept a JSON object shaped like this:
{
"name": "Upper Day", "type": "strength", "steps": [ { "stepType": "warmup", "endConditionType": "lap.button", "stepDescription": "General warm-up" }, { "stepType": "interval", "exercise": "incline db press", "endConditionType": "reps", "stepReps": 8, "stepDescription": "8-10 reps" }, { "stepType": "rest", "endConditionType": "time", "stepDuration": 120 } ] }
For strength exercises, either pass a friendly alias:
{ "exercise": "t bar row" }
or explicit Garmin enums:
{
"exercise": { "category": "ROW", "exerciseName": "T_BAR_ROW" } }
You can also inspect the accepted structure programmatically through get_workout_input_schema, or resolve likely Garmin strength mappings with resolve_supported_strength_exercise.
Run tests in Docker Compose:
docker compose run --rm tests
Build the runtime image:
docker build -t garmin-workouts-mcp:local .
Smoke test the stdio server startup without Garmin credentials:
python - <<'PY'
import subprocess
proc = subprocess.Popen( ["bash", "-lc", "tail -f /dev/null | docker run --rm -i garmin-workouts-mcp:local"] ) try: proc.wait(timeout=5) print(f"container exited early with code {proc.returncode}") finally: if proc.poll() is None: proc.terminate() proc.wait() print("container stayed up for 5 seconds") PY
The intended OCI image location is:
ghcr.io/pranciskus/garmin-workouts-mcp
Registry metadata lives in server.json. The OCI image carries the required label:
io.modelcontextprotocol.server.name=io.github.pranciskus/garmin-workouts-mcp
Glama ownership metadata lives in glama.json. It declares the GitHub maintainer account that can claim and manage the Glama listing.