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/pull_tfc.py

@@ -0,0 +1,103 @@
+#!/usr/bin/env python3
+"""
+Pull Toronto FC squad and fixtures and store in Portia DB.
+
+Delegates all API calls and DB writes to nike.sync.sync_team_data()
+so this script stays thin and the real logic lives in one place.
+"""
+import sys
+from pathlib import Path
+
+# Make sure the project root is on the path when run directly
+sys.path.insert(0, str(Path(__file__).resolve().parent.parent))
+
+from datetime import date
+
+from nike import config, db
+from nike.sync import sync_team_data
+
+
+def main() -> None:
+    if not config.API_FOOTBALL_KEY:
+        print("❌  API_FOOTBALL_KEY not set in .env")
+        sys.exit(1)
+
+    print("=" * 60)
+    print("  NIKE — Toronto FC Data Pull")
+    print(f"  API: {config.API_FOOTBALL_BASE}")
+    print("=" * 60)
+
+    db.create_pool()
+
+    try:
+        results = sync_team_data(
+            team_search=config.TFC_SEARCH,
+            seasons=config.SEASONS,
+        )
+    finally:
+        db.close_pool()
+
+    # ── Summary ──────────────────────────────────────────
+    if results["errors"]:
+        print("\n⚠️  Errors encountered:")
+        for e in results["errors"]:
+            print(f"   • {e}")
+
+    print(f"\n✅  Team:         {results.get('team', 'unknown')}")
+    print(f"   Players:      {results['players']}")
+    print(f"   API calls:    {results['api_calls']}")
+    for season, count in results.get("seasons", {}).items():
+        print(f"   Fixtures {season}: {count}")
+
+    if results.get("squad"):
+        _print_squad(results["squad"])
+
+    if results.get("all_fixtures"):
+        _print_fixtures(results["all_fixtures"])
+
+
+def _print_squad(squad: list[dict]) -> None:
+    print("\n" + "=" * 60)
+    print("  SQUAD")
+    print("=" * 60)
+    pos_order = ["Goalkeeper", "Defender", "Midfielder", "Attacker"]
+    by_pos: dict = {}
+    for p in squad:
+        by_pos.setdefault(p.get("position") or "Unknown", []).append(p)
+
+    for pos in pos_order + [k for k in by_pos if k not in pos_order]:
+        if pos not in by_pos:
+            continue
+        print(f"\n  {pos.upper()}S:")
+        for p in sorted(by_pos[pos],
+                        key=lambda x: x["number"] if isinstance(x.get("number"), int) else 99):
+            print(f"    #{str(p.get('number', '-')).rjust(2)}  {p['name']}")
+
+
+def _print_fixtures(fixtures: list[dict]) -> None:
+    print("\n" + "=" * 60)
+    print("  FIXTURES")
+    print("=" * 60)
+    today = date.today().isoformat()
+
+    today_f   = [f for f in fixtures if f["date"][:10] == today]
+    completed = [f for f in fixtures if f["status"] in ("FT", "AET", "PEN")]
+    upcoming  = [f for f in fixtures if f["status"] in ("NS", "TBD", "PST")]
+
+    if today_f:
+        print("\n  🔴 TODAY:")
+        for f in today_f:
+            score = f" {f['score']}" if f.get("score") else ""
+            print(f"     {f['home']}{score} {f['away']}  @ {f['venue']}  [{f['status']}]")
+    if completed:
+        print("\n  RECENT RESULTS (last 5):")
+        for f in completed[-5:]:
+            print(f"     {f['date'][:10]}  {f['home']} {f['score']} {f['away']}")
+    if upcoming:
+        print("\n  UPCOMING (next 5):")
+        for f in sorted(upcoming, key=lambda x: x["date"])[:5]:
+            print(f"     {f['date'][:10]}  {f['home']} vs {f['away']}  [{f.get('round', '')}]")
+
+
+if __name__ == "__main__":
+    main()