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