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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

  1. garmin — Aktivitätsverlauf, Wellness, HR-Zonenverteilung, wöchentliche Belastung (aus SQLite)

  2. pain — Schmerzverlauf + neues Schmerzloggen (INSERT in SQLite)

  3. coach-rules — coach-principles.md + pain-rubric.md als 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 8502

Demo-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.txt

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.

  • 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

  • A
    license
    A
    quality
    B
    maintenance
    Enables 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.
    28
    160 PyPI
    2
    MIT
  • F
    license
    Not graded
    quality
    D
    maintenance
    Provides 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
    -
  • F
    license
    Not graded
    quality
    D
    maintenance
    Enables workout tracking and coaching within Claude conversations, managing exercise configs, logs, streaks, and health metrics via an MCP server with PostgreSQL.
    -