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
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# nike
# Nike — Football Data Platform
MCP server and web dashboard for football (soccer) data, with full MLS support.
Queries live data from [free-api-live-football-data](https://rapidapi.com/Creativesdev/api/free-api-live-football-data) (RapidAPI) and exposes it via MCP tools for conversational analysis and a Bootstrap status dashboard.
---
## Architecture
```
┌─────────────────────────────────────────────────────────┐
│ nike/server.py — single process on 0.0.0.0:{PORT} │
│ │
│ GET / → Bootstrap dashboard (dashboard.html)│
│ GET /api/* → Dashboard JSON API │
│ /mcp → FastMCP HTTP (streamable) │
└──────────┬──────────────────────────────────────────────┘
nike/rapidapi.py
(free-api-live-football-data client)
RapidAPI
(free-api-live-football-data.p.rapidapi.com)
```
### Module responsibilities
| Module | Role |
|--------|------|
| `nike/config.py` | Centralised settings from `.env` (API keys, constants) |
| `nike/rapidapi.py` | RapidAPI client with TTL cache (live data backend) |
| `nike/server.py` | FastAPI app: MCP tools, dashboard routes, mounts MCP ASGI |
| `nike/templates/dashboard.html` | Live status dashboard (Bootstrap 5, dark theme) |
### Legacy modules (preserved, not active)
| Module | Role |
|--------|------|
| `nike/api_football.py` | API-Football v3 client (original backend) |
| `nike/db.py` | PostgreSQL connection pool and query helpers |
| `nike/sync.py` | API → DB sync pipeline |
| `schema.sql` | Database DDL |
### MCP Tools
| Tool | Description |
|------|-------------|
| `search(query)` | Universal search across teams, players, leagues, matches |
| `live_scores()` | All currently live matches worldwide |
| `fixtures(league, date)` | Matches by league and/or date |
| `standings(league)` | Full league table |
| `team_info(team)` | Team profile + squad roster |
| `player_info(player)` | Player profile and details |
| `match_detail(event_id)` | Full match: score, stats, lineups, venue, referee |
| `head_to_head(event_id)` | H2H history for a matchup |
| `top_players(league, stat)` | Top scorers / assists / rated |
| `transfers(league_or_team, scope)` | Transfer activity |
| `news(scope, name)` | Trending, league, or team news |
---
## Setup
### Prerequisites
- Python >= 3.11
- A RapidAPI key for [free-api-live-football-data](https://rapidapi.com/Creativesdev/api/free-api-live-football-data)
### Install
```bash
cd ~/gitea/nike
python3 -m venv ~/env/nike
source ~/env/nike/bin/activate
pip install -e .
```
### Configure
Create (or edit) `.env` in the project root:
```env
RAPIDAPI_KEY=<your-rapidapi-key>
```
### Verify API connectivity
```bash
python scripts/test_rapidapi.py
```
This searches for MLS, fetches standings, finds Toronto FC, and pulls the squad roster.
---
## Running
### Development
```bash
python run.py
```
The server starts on `http://0.0.0.0:{PORT}`:
- **Dashboard** → `http://<host>:{PORT}/`
- **MCP endpoint** → `http://<host>:{PORT}/mcp`
### Production (systemd)
```bash
sudo cp nike.service /etc/systemd/system/
sudo systemctl daemon-reload
sudo systemctl enable --now nike
```
---
## MCP Client Configuration
Nike exposes a Streamable HTTP MCP endpoint at `/mcp`. To connect an MCP client (e.g. Claude Desktop, Cline, or any MCP-compatible tool), add the following to your client's MCP server configuration:
```json
{
"mcpServers": {
"nike": {
"type": "streamable-http",
"url": "http://<host>:{PORT}/mcp"
}
}
}
```
Once connected, you can ask questions like:
- *"What matches are live right now?"*
- *"Show the MLS standings"*
- *"Who plays for Toronto FC?"*
- *"Who's the MLS top scorer?"*
- *"Any transfer news for Inter Miami?"*
- *"Tell me about Federico Bernardeschi"*
---
## Scripts
| Script | Purpose |
|--------|---------|
| `scripts/test_rapidapi.py` | Verify RapidAPI connectivity and fetch sample data |
| `scripts/test_db.py` | Verify PostgreSQL connectivity (legacy) |
| `scripts/test_api.py` | Verify API-Football connectivity (legacy) |
| `scripts/apply_schema.py` | Apply database schema (legacy) |
| `scripts/pull_tfc.py` | Full TFC data sync via API-Football (legacy) |
| `scripts/verify_db.py` | Print DB row counts (legacy) |
---
## Project Structure
```
nike/
├── .env # Secrets (not committed)
├── pyproject.toml # Package metadata & dependencies
├── run.py # Entrypoint: python run.py
├── schema.sql # Database DDL (legacy)
├── nike.service # systemd unit file
├── nike/
│ ├── __init__.py
│ ├── config.py # Settings from .env
│ ├── rapidapi.py # RapidAPI client (active backend)
│ ├── api_football.py # API-Football v3 client (legacy)
│ ├── db.py # DB pool + queries (legacy)
│ ├── sync.py # API → DB sync logic (legacy)
│ ├── server.py # FastAPI + MCP server
│ └── templates/
│ └── dashboard.html # Status dashboard
└── scripts/
├── test_rapidapi.py # RapidAPI smoke test
├── apply_schema.py # (legacy)
├── pull_tfc.py # (legacy)
├── test_api.py # (legacy)
├── test_db.py # (legacy)
└── verify_db.py # (legacy)
```
---
## API Quota
The free-api-live-football-data RapidAPI pricing:
| Plan | Price | Requests/Month |
|------|-------|----------------|
| Basic (Free) | $0 | 100 |
| Pro | $9.99/mo | 20,000 |
| Ultra | $19.99/mo | 200,000 |
| Mega | $49.99/mo | 500,000 |
Nike uses a 5-minute in-memory TTL cache to minimize API calls during conversations.