Antrenör MCP

Antrenör MCP

Enables interaction with simulated fitness data (activity history, wellness, pain logging, coaching rules) via MCP protocol, allowing Claude Desktop to query and log data through natural language.

Category
Visit Server

README

Antrenör MCP — Deney / Öğrenme Projesi

Bu üretim değildir. Ana Antrenör uygulamasının MCP (Model Context Protocol) versiyonunu deneyimlemek için oluşturulmuş yan projedir. Amaç: MCP mimarisini öğrenmek, ana projeye entegre olsaydı nasıl görüneceğini göstermek.

Mimari

mcp_servers/data/demo.db  (SQLite — uydurma seed veri)
        ↑                    ↑
   MCP server'lar        Streamlit
   (Claude Desktop)      (localhost:8501)

Anahtar fikir: Bir veri kaynağı, iki farklı client — biri konuşmalı (Claude Desktop + MCP), biri görsel (Streamlit).

Ana Projeyle Farkı

Ana Proje (üretim) Bu Deney
Model erişimi Push modeli — Worker prompt'a context yapıştırır Pull modeli — Claude MCP server'lardan çeker
Client iOS + Streamlit Claude Desktop + Streamlit
Deploy Cloudflare Workers + D1 Lokal Python
Veri kaynağı Gerçek Garmin API Uydurma SQLite seed
Amaç Kullanıcıya değer üretmek Mimariyi öğrenmek/göstermek

MCP Server'lar

  1. garmin — Aktivite geçmişi, wellness, HR zone dağılımı, haftalık yük (SQLite'tan)
  2. pain — Ağrı geçmişi + yeni ağrı loglama (SQLite'ta INSERT)
  3. coach-rules — coach-principles.md + pain-rubric.md prompt template'i olarak

Detay ve API için: mcp_servers/README.md

Hızlı Başlangıç

# 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 Senaryosu

Sunumda kullanılacak 3 senaryo ve akış için: DEMO.md

Klasör Yapısı

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

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured