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Antrenör MCP

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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

  1. garmin — Historial de actividades, bienestar, distribución de zonas de frecuencia cardíaca, carga semanal (desde SQLite)

  2. pain — Historial de dolor + registro de nuevo dolor (INSERT en SQLite)

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

Escenario 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.txt

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivityMaintained
ResponsivenessSyncing

Resources

Related MCP Connectors

  • RepsAOAuth
    com.repsworkout

    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.

    Fitness TrackingHealth & WellnessSports
    141
  • PaceAOAuth
    app.run.europe-west1.pace-mcp-820971109121

    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.

    Customer Data PlatformsFitness TrackingHealth & Wellness
    3
  • SomviaOAuth
    app.somvia

    Apple Health training load, recovery, HRV and workout detail for Claude, ChatGPT and any MCP client.

    Health & WellnessFitness Tracking
    2
  • Coach IcarusOAuth
    io.github.simkessy

    Adaptive running coach MCP server — training data, plans, and recovery for AI assistants.

    Fitness TrackingHealth & Wellness
    1

Related MCP Servers

  • garmin-mcp

    Tyler-Irving
    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

  • fitness-mcp-server

    ewongz
    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
    -

  • WorkoutGuide MCP

    amerhhh
    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.
    -