feat: implement MCP server and dashboard for football data platform

Add complete Nike football data platform with:
- FastMCP server exposing football data tools over HTTP
- RapidAPI client for free-api-live-football-data integration
- Bootstrap web dashboard with live match/standings views
- REST API endpoints for dashboard consumption
- Docker support with multi-stage build
- Comprehensive README with architecture docs
- Minimal .gitignore replacing verbose Python template

scripts/apply_schema.py

@@ -0,0 +1,49 @@
+#!/usr/bin/env python3
+"""Apply Nike schema to Portia PostgreSQL."""
+import os
+import sys
+
+from dotenv import load_dotenv
+import psycopg2
+
+load_dotenv('/home/robert/gitea/nike/.env')
+
+try:
+    conn = psycopg2.connect(
+        host=os.getenv('DB_HOST'),
+        port=int(os.getenv('DB_PORT', 5432)),
+        user=os.getenv('DB_USER'),
+        password=os.getenv('DB_PASSWORD'),
+        dbname='nike',
+    )
+except Exception as e:
+    print(f"❌ Cannot connect to DB: {e}")
+    sys.exit(1)
+
+conn.autocommit = True
+cur = conn.cursor()
+
+schema_path = os.path.join(os.path.dirname(__file__), '..', 'schema.sql')
+with open(schema_path, 'r') as f:
+    sql = f.read()
+
+try:
+    cur.execute(sql)
+    print("✅ Schema applied successfully.")
+except Exception as e:
+    print(f"❌ Schema error: {e}")
+    cur.close()
+    conn.close()
+    sys.exit(1)
+
+cur.execute("""
+    SELECT table_name FROM information_schema.tables
+    WHERE table_schema = 'public' ORDER BY table_name;
+""")
+tables = cur.fetchall()
+print(f"   {len(tables)} tables in public schema:")
+for t in tables:
+    print(f"   • {t[0]}")
+
+cur.close()
+conn.close()