Antrenör MCP
Coach MCP — Experiment / Lernprojekt
Dies ist keine Produktion. Es ist ein Nebenprojekt, das erstellt wurde, um die MCP-Version (Model Context Protocol) der Haupt-Coach-Anwendung zu erproben. Ziel: Die MCP-Architektur zu lernen und zu zeigen, wie sie aussehen würde, wenn sie in das Hauptprojekt integriert wäre.
Architektur
mcp_servers/data/demo.db (SQLite — uydurma seed veri)
↑ ↑
MCP server'lar Streamlit
(Claude Desktop) (localhost:8501)Schlüsselidee: Eine Datenquelle, zwei verschiedene Clients — einer gesprächsbasiert (Claude Desktop + MCP), einer visuell (Streamlit).
Related MCP server: fitness-mcp-server
Unterschied zum Hauptprojekt
Hauptprojekt (Produktion) | Dieses Experiment | |
Modellzugriff | Push-Modell — Worker fügt Kontext an Prompt an | Pull-Modell — Claude zieht von MCP-Servern |
Client | iOS + Streamlit | Claude Desktop + Streamlit |
Deploy | Cloudflare Workers + D1 | Lokales Python |
Datenquelle | Echte Garmin-API | Erfundener SQLite-Seed |
Zweck | Nutzer Mehrwert bieten | Architektur lernen/zeigen |
MCP-Server
garmin — Aktivitätsverlauf, Wellness, HR-Zonenverteilung, wöchentliche Belastung (aus SQLite)
pain — Schmerzverlauf + neues Schmerzloggen (INSERT in SQLite)
coach-rules —
coach-principles.md+pain-rubric.mdals Prompt-Vorlage
Details und API unter: mcp_servers/README.md
Schnellstart
# 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 8502Demo-Szenario
3 Szenarien und Ablauf für die Präsentation unter: DEMO.md
Ordnerstruktur
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 deployed
Maintenance
Related MCP Connectors
Talk to your own gym log. Reps is a free workout tracker for iPhone and Android; connect it to Claude, ChatGPT or any MCP client and ask about your workout history, personal records, exercise progression, weekly summaries, routines and training plan. The assistant can also save a new routine, edit one, save a whole plan, add custom exercises and exercise notes, always after you confirm in the chat. It cannot log a workout or delete your history. Requires a free Reps account created in the app; you sign in with a one-time email code.
Pace is a remote MCP server that exposes wearable and fitness data to Claude via the Model Context Protocol. It connects to Garmin, Oura, Whoop, Polar, Fitbit and 20+ devices and provides 15 tools for querying sleep, activity, recovery, and training data. Hosted on Google Cloud Run, OAuth 2.1 authentication, Streamable HTTP transport. Instructions: First you need to create an account at: https://pacetraining.co and connect your wearables. After that you can connect the remote Server via Custom Connector in Claude and OAuth 2.1 Flow startet.
- SomviaOAuthapp.somvia
Apple Health training load, recovery, HRV and workout detail for Claude, ChatGPT and any MCP client.
Adaptive running coach MCP server — training data, plans, and recovery for AI assistants.
Related MCP Servers
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- FlicenseNot gradedqualityDmaintenanceProvides 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-
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