MCP Integration for Sports Hub
AI-powered sports content aggregation and distribution using the Model Context Protocol.
Overview
The AltSportsData MCP server enables Sports Hubs to:
- Content Aggregation - Gather sports data from multiple leagues
- Multi-League Management - Centralized access to diverse sports
- Real-time Updates - Live scores, stats, and news distribution
- Content Curation - AI-powered content selection and formatting
- Fan Engagement - Personalized content delivery
Quick Setup
Configure for Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"altsportsdata-hub": {
"command": "npx",
"args": ["-y", "@altsportsdata/mcp-server"],
"env": {
"API_KEY": "your-sports-hub-api-key",
"ROLE": "sports_hub",
"HUB_ID": "your-hub-id"
}
}
}
}Available Tools
1. Aggregate Multi-League Data
Fetch data across multiple sports and leagues simultaneously.
{
"name": "aggregate_league_data",
"arguments": {
"leagues": ["epl", "nba", "nfl", "mlb"],
"data_types": ["matches", "standings", "highlights"],
"timeframe": "today"
}
}Response:
{
"aggregation_time": "2024-11-18T10:30:00Z",
"leagues": {
"epl": {
"matches": 5,
"live_matches": 2,
"upcoming": 3
},
"nba": {
"matches": 12,
"live_matches": 4,
"upcoming": 8
}
},
"total_events": 42,
"live_events": 8
}2. Get Trending Content
Identify trending stories and events across sports.
{
"name": "get_trending_content",
"arguments": {
"sports": ["soccer", "basketball", "football"],
"timeframe": "24h",
"metrics": ["engagement", "breaking_news", "viral_moments"],
"limit": 10
}
}3. Curate Personalized Feed
Create personalized content feeds for different audience segments.
{
"name": "curate_content_feed",
"arguments": {
"audience_profile": {
"preferred_sports": ["basketball", "soccer"],
"favorite_teams": ["Lakers", "Manchester United"],
"content_types": ["highlights", "stats", "news"]
},
"feed_length": 20,
"refresh_interval": "5m"
}
}4. Generate Content Summaries
AI-powered summaries of matches, seasons, or storylines.
{
"name": "generate_content_summary",
"arguments": {
"content_type": "match_recap",
"match_id": "epl-2024-001",
"format": "short", // short, medium, detailed
"include": ["key_moments", "stats", "quotes"]
}
}5. Schedule Content Distribution
Plan and automate content publishing across channels.
{
"name": "schedule_content",
"arguments": {
"content_items": [
{
"type": "match_preview",
"match_id": "nba-2024-lakers-celtics",
"publish_time": "2024-11-18T18:00:00Z"
}
],
"channels": ["web", "mobile_app", "social_media"],
"optimization": "peak_engagement"
}
}Sports Hub Workflows
Workflow 1: Daily Content Curation
User: "Create today's sports content lineup"
AI Agent (using MCP):
1. Aggregates all sports data with aggregate_league_data
2. Identifies trending stories with get_trending_content
3. Generates match previews with generate_content_summary
4. Curates personalized feeds with curate_content_feed
5. Schedules content distribution with schedule_content
Result: Complete daily content plan with automated publishingWorkflow 2: Live Event Coverage
User: "Set up live coverage for tonight's big games"
AI Agent (using MCP):
1. Identifies key matches with get_featured_matches
2. Sets up live data feeds with configure_live_feeds
3. Creates real-time update templates with create_update_templates
4. Monitors for key moments with watch_live_events
5. Auto-publishes highlights with publish_live_updates
Result: Automated live event coverage across platformWorkflow 3: Breaking News Response
User: "Major trade just happened, create content package"
AI Agent (using MCP):
1. Verifies news with validate_breaking_news
2. Gathers context with get_player_history
3. Analyzes impact with analyze_trade_impact
4. Generates articles with generate_news_article
5. Distributes across channels with publish_breaking_news
Result: Comprehensive breaking news coverage in minutesWorkflow 4: Weekly Recap Generation
User: "Generate this week's sports recap across all leagues"
AI Agent (using MCP):
1. Aggregates week's events with aggregate_weekly_data
2. Identifies key storylines with extract_storylines
3. Compiles highlights with compile_highlight_reel
4. Creates summaries with generate_weekly_recap
5. Formats for distribution with format_multi_channel
Result: Multi-sport weekly recap ready for publicationContent Types
Match Coverage
| Content Type | Description | Timing | Tools Used |
|---|---|---|---|
| Preview | Pre-game analysis and predictions | 24h before | generate_match_preview |
| Live Updates | Real-time score and event updates | During match | get_live_updates |
| Recap | Post-game summary and highlights | Post-match | generate_match_recap |
| Analysis | Deep dive into tactics and performance | 24h after | generate_analysis |
Aggregated Content
// Multi-sport dashboard
{
"name": "create_sports_dashboard",
"arguments": {
"widgets": [
{
"type": "live_scores",
"sports": ["all"],
"refresh": "30s"
},
{
"type": "trending_stories",
"limit": 5,
"timeframe": "6h"
},
{
"type": "upcoming_highlights",
"timeframe": "next_24h",
"featured_only": true
}
],
"layout": "grid",
"personalization": true
}
}Content Curation Strategies
Audience Segmentation
Create content for different fan segments:
- Casual Fans - Highlights, trending stories, big events
- Die-Hard Fans - Deep stats, tactical analysis, insider news
- Fantasy Players - Player stats, injury reports, lineup info
- Bettors - Odds, predictions, key trends
Content Prioritization
{
"name": "prioritize_content",
"arguments": {
"content_pool": "today",
"factors": {
"trending_score": 0.30,
"user_interest": 0.25,
"recency": 0.20,
"exclusivity": 0.15,
"quality_score": 0.10
},
"audience_segment": "general"
}
}Multi-Channel Distribution
Channel Configuration
{
"channels": {
"website": {
"format": "full_articles",
"update_frequency": "5m",
"priority": "high"
},
"mobile_app": {
"format": "notifications",
"update_frequency": "real_time",
"priority": "critical"
},
"social_media": {
"format": "short_posts",
"platforms": ["twitter", "facebook", "instagram"],
"scheduling": "peak_engagement"
},
"email": {
"format": "newsletter",
"frequency": "daily",
"send_time": "08:00"
}
}
}Cross-Platform Publishing
{
"name": "publish_cross_platform",
"arguments": {
"content": {
"title": "Lakers Rally Past Celtics in OT Thriller",
"summary": "LeBron's 35 points lead comeback victory",
"body": "full_article_content",
"media": ["highlight_video", "stats_graphic"]
},
"channels": {
"website": {
"format": "full",
"featured": true
},
"mobile": {
"format": "notification",
"priority": "high"
},
"social": {
"format": "short_caption",
"platforms": ["all"]
}
}
}
}Data Aggregation
Multi-League Data Sync
{
"name": "sync_multi_league_data",
"arguments": {
"leagues": [
{"id": "epl", "priority": "high", "refresh": "30s"},
{"id": "nba", "priority": "high", "refresh": "30s"},
{"id": "nfl", "priority": "medium", "refresh": "1m"},
{"id": "mls", "priority": "medium", "refresh": "1m"}
],
"data_types": ["scores", "stats", "news", "standings"],
"sync_mode": "continuous"
}
}Content Deduplication
Avoid duplicate content across sources:
{
"name": "deduplicate_content",
"arguments": {
"content_sources": ["api_feeds", "news_wires", "social_media"],
"similarity_threshold": 0.85,
"keep_strategy": "highest_quality"
}
}Real-Time Features
Live Score Widgets
{
"name": "create_live_scoreboard",
"arguments": {
"sports": ["all"],
"display_mode": "compact",
"update_frequency": "real_time",
"interactive": true,
"show_stats": true
}
}Push Notification System
{
"name": "configure_push_notifications",
"arguments": {
"triggers": [
{"event": "game_start", "delay": "0m"},
{"event": "score_change", "delay": "instant"},
{"event": "game_end", "delay": "5m"},
{"event": "breaking_news", "delay": "instant"}
],
"user_preferences": "respect",
"quiet_hours": {"start": "22:00", "end": "08:00"}
}
}Integration Examples
TypeScript Integration
import { MCPClient } from '@modelcontextprotocol/sdk';
const hubClient = new MCPClient({
serverUrl: 'http://localhost:3000/mcp',
apiKey: process.env.SPORTS_HUB_API_KEY,
role: 'sports_hub',
hubId: 'my-sports-hub'
});
// Aggregate multi-league data
const aggregatedData = await hubClient.call('aggregate_league_data', {
leagues: ['epl', 'nba', 'nfl'],
data_types: ['matches', 'standings'],
timeframe: 'today'
});
// Get trending content
const trending = await hubClient.call('get_trending_content', {
sports: ['soccer', 'basketball'],
timeframe: '24h',
limit: 10
});Python Integration
from altsportsdata_mcp import MCPClient
client = MCPClient(
api_key=os.getenv('SPORTS_HUB_API_KEY'),
role='sports_hub',
hub_id='my-sports-hub'
)
# Create personalized feed
feed = client.call_tool('curate_content_feed', {
'audience_profile': {
'preferred_sports': ['basketball', 'soccer'],
'favorite_teams': ['Lakers', 'Manchester United']
},
'feed_length': 20
})
# Generate content summary
summary = client.call_tool('generate_content_summary', {
'content_type': 'match_recap',
'match_id': 'epl-2024-001',
'format': 'short'
})Example Prompts
Content Creation
"Create today's sports homepage lineup"
"Generate match previews for tonight's NBA games"
"Curate a personalized feed for Lakers fans"Live Coverage
"Set up live coverage for Champions League matches"
"Monitor all games and alert on key moments"
"Create real-time updates for the Super Bowl"Trending & Discovery
"What are the top trending sports stories right now?"
"Find viral moments from yesterday's games"
"Identify breaking news across all sports"Multi-Sport Aggregation
"Show me all live games across all sports"
"Create a dashboard with scores from every league"
"Aggregate standings from soccer, basketball, and hockey"Best Practices
Content Strategy
- Prioritize Live Events: Real-time content drives engagement
- Balance Coverage: Don't favor one sport too heavily
- Personalization: Segment audiences and customize content
- Quality Over Quantity: Well-crafted content > volume
- Mobile-First: Optimize for mobile consumption
Performance Optimization
- Cache frequently accessed data (league standings, team info)
- Use webhooks for live updates instead of polling
- Implement content CDN for media delivery
- Pre-generate content templates
- Batch similar API requests
Engagement Metrics
Track and optimize for:
- Time on site
- Content shares
- Return visitor rate
- Push notification open rates
- Comment/interaction rates
Advanced Features
AI-Powered Content Generation
{
"name": "generate_ai_article",
"arguments": {
"topic": "match_analysis",
"match_id": "epl-2024-001",
"tone": "analytical",
"length": "medium",
"include_graphics": true,
"target_audience": "die_hard_fans"
}
}Automated Highlight Reels
{
"name": "create_highlight_reel",
"arguments": {
"match_id": "nba-2024-001",
"highlight_criteria": {
"dunks": true,
"three_pointers": true,
"blocks": true,
"buzzer_beaters": true
},
"duration": "120s",
"music": "upbeat"
}
}Predictive Content Planning
{
"name": "predict_viral_content",
"arguments": {
"upcoming_events": "next_7_days",
"factors": ["rivalry", "stakes", "star_power", "trending_players"],
"output": "content_calendar"
}
}Troubleshooting
Common Issues
Issue: Content feels repetitive
Solutions:
- Increase diversity in content sources
- Adjust trending algorithm weights
- Implement content rotation rules
- Add more content types to mix
Issue: Live updates lagging
Solutions:
- Switch from polling to WebSocket
- Optimize data parsing
- Reduce refresh interval for critical games
- Use push notifications from MCP server
Issue: Poor engagement on social posts
Solutions:
- A/B test posting times
- Analyze trending hashtags
- Include more visual content
- Personalize captions by platform