Antrenör MCP
Antrenör MCP — Experimento / Proyecto de Aprendizaje
Esto no es producción. Es un proyecto paralelo creado para experimentar la versión MCP (Model Context Protocol) de la aplicación principal Antrenör. Objetivo: aprender la arquitectura MCP, mostrar cómo se vería si estuviera integrada en el proyecto principal.
Arquitectura
mcp_servers/data/demo.db (SQLite — uydurma seed veri)
↑ ↑
MCP server'lar Streamlit
(Claude Desktop) (localhost:8501)Idea clave: Una fuente de datos, dos clientes diferentes — uno conversacional (Claude Desktop + MCP), uno visual (Streamlit).
Related MCP server: fitness-mcp-server
Diferencia con el Proyecto Principal
Proyecto Principal (producción) | Este Experimento | |
Acceso al modelo | Modelo push — Worker pega contexto en el prompt | Modelo pull — Claude extrae de servidores MCP |
Cliente | iOS + Streamlit | Claude Desktop + Streamlit |
Despliegue | Cloudflare Workers + D1 | Python local |
Fuente de datos | API real de Garmin | Seed SQLite ficticio |
Propósito | Generar valor para el usuario | Aprender/mostrar la arquitectura |
Servidores MCP
garmin — Historial de actividades, bienestar, distribución de zonas de frecuencia cardíaca, carga semanal (desde SQLite)
pain — Historial de dolor + registro de nuevo dolor (INSERT en SQLite)
coach-rules —
coach-principles.md+pain-rubric.mdcomo plantilla de prompt
Para detalles y API: mcp_servers/README.md
Inicio Rápido
# 1. Bağımlılıklar
python3.11 -m venv .venv
.venv/bin/pip install -r requirements.txt
# 2. DB seed
.venv/bin/python -m mcp_servers.data.seed
# 3. Claude Desktop config kur
cp mcp_servers/claude_desktop_config.example.json \
"$HOME/Library/Application Support/Claude/claude_desktop_config.json"
# 4. Claude Desktop'ı restart (Cmd+Q sonra yeniden aç)
# 5. Streamlit dashboard (opsiyonel, görsel demo için — port 8502, ana projenin 8501 ile çakışmaz)
.venv/bin/streamlit run streamlit_demo/app.py --server.port 8502Escenario de Demo
Para 3 escenarios y flujo a usar en la presentación: DEMO.md
Estructura de Carpetas
antrenör_mcp/
├── mcp_servers/
│ ├── garmin/server.py Aktivite + wellness + zone MCP
│ ├── pain/server.py Ağrı geçmişi + log_pain tool
│ ├── coach_rules/server.py Prensipler + rubric prompt template
│ ├── data/seed.py DB seed script
│ ├── data/demo.db SQLite (git'e girmez)
│ └── claude_desktop_config.example.json
├── streamlit_demo/app.py 3 tab dashboard
├── docs/
│ ├── coach-principles.md Zone 2, shin, deload kuralları
│ └── pain-rubric.md 0-10 ağrı ölçeği
├── DEMO.md Sunum senaryosu
└── requirements.txtThis server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Related MCP Servers
- AlicenseAqualityAmaintenanceEnables Claude to access and query your Garmin Connect data, including sleep, activities, training load, and health metrics, through a set of read-only MCP tools.181MIT
- Flicense-qualityDmaintenanceProvides MCP servers for Claude to access fitness data from Strava and intervals.icu, enabling natural language queries for activity analysis, advanced training metrics, and wellness tracking.1
- Flicense-qualityDmaintenanceEnables users to query WHOOP health data including recovery, sleep, workouts, and cycles through Claude Desktop using MCP tools.
- Flicense-qualityCmaintenanceEnables workout tracking and coaching within Claude conversations, managing exercise configs, logs, streaks, and health metrics via an MCP server with PostgreSQL.
Related MCP Connectors
Garmin data in Claude & ChatGPT via the Garmin Health API. OAuth sign-in, no password sharing.
Garmin data in Claude: 135 tools — activities, sleep, HRV, training, workouts. Free, open source.
WHOOP recovery, strain, sleep and workouts in Claude via official WHOOP OAuth. Free, open source.
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