MCP Integration for League Owners
AI-powered league management and partnership tools using the Model Context Protocol.
Overview
The AltSportsData MCP server helps league owners and operators with:
- League Data Management - Centralize and distribute league information
- Partnership Tools - Contract generation and partnership scoring
- Tier Classification - Understand your league's market position
- Data Distribution - Manage how your data is shared with partners
- Analytics Dashboard - Access insights about your league's performance
Quick Setup
Configure for Claude Desktop
Add to your claude_desktop_config.json:
{
"mcpServers": {
"altsportsdata-league": {
"command": "npx",
"args": ["-y", "@altsportsdata/mcp-server"],
"env": {
"API_KEY": "your-league-owner-api-key",
"ROLE": "league_owner",
"LEAGUE_ID": "your-league-id"
}
}
}
}Available Tools
1. Manage League Profile
Update and manage your league's information.
{
"name": "update_league_profile",
"arguments": {
"league_id": "regional-soccer-league",
"updates": {
"description": "Premier regional soccer competition",
"season": "2024-25",
"teams_count": 16,
"website": "https://rsl.example.com"
}
}
}2. Generate Partnership Proposals
Create customized partnership proposals for potential partners.
{
"name": "generate_partnership_proposal",
"arguments": {
"partner_type": "sportsbook",
"league_data": {
"tier": 3,
"fan_base": 50000,
"avg_attendance": 2500
},
"custom_terms": {
"data_rights": "non-exclusive",
"territory": "regional"
}
}
}3. Get Tier Classification
Understand your league's tier and market position.
{
"name": "classify_league_tier",
"arguments": {
"league_id": "regional-soccer-league",
"evaluation_criteria": [
"market_size",
"fan_engagement",
"media_coverage",
"financial_stability"
]
}
}Response:
{
"tier": 3,
"classification": "Regional League - Strong",
"scores": {
"market_size": 7.2,
"fan_engagement": 8.1,
"media_coverage": 6.5,
"financial_stability": 7.8,
"overall": 7.4
},
"recommendations": [
"Increase digital presence to reach tier 2",
"Expand streaming partnerships",
"Grow social media engagement"
],
"comparable_leagues": [
"USL Championship",
"Canadian Premier League"
]
}4. Track Data Usage
Monitor how partners are using your league's data.
{
"name": "track_data_usage",
"arguments": {
"league_id": "regional-soccer-league",
"timeframe": "30d",
"partner_filter": ["sportsbooks", "media"]
}
}5. Manage Data Distribution
Control what data is shared with partners.
{
"name": "manage_data_access",
"arguments": {
"league_id": "regional-soccer-league",
"partner_id": "sportsbook-partner-1",
"permissions": {
"match_results": "full",
"player_stats": "basic",
"injury_reports": "delayed_6h"
}
}
}League Owner Workflows
Workflow 1: Partnership Onboarding
User: "Help me create a partnership proposal for a new sportsbook"
AI Agent (using MCP):
1. Retrieves league profile with get_league_profile
2. Calculates tier with classify_league_tier
3. Generates proposal with generate_partnership_proposal
4. Creates contract with generate_contract
5. Provides negotiation talking points
Result: Complete partnership package ready to sendWorkflow 2: Season Data Setup
User: "Set up data feeds for the 2024-25 season"
AI Agent (using MCP):
1. Updates league profile with new season
2. Configures data distribution settings
3. Sets up partner access permissions
4. Creates schedule feed endpoints
5. Configures real-time updates
Result: Fully configured data distribution for new seasonWorkflow 3: Performance Analysis
User: "Analyze our league's performance this season"
AI Agent (using MCP):
1. Retrieves attendance data with get_attendance_stats
2. Analyzes fan engagement with get_engagement_metrics
3. Reviews media coverage with get_media_analytics
4. Compares to tier benchmarks with compare_to_tier
5. Provides improvement recommendations
Result: Comprehensive performance report with actionable insightsWorkflow 4: Contract Management
User: "Review our active partnership contracts"
AI Agent (using MCP):
1. Lists active contracts with list_contracts
2. Checks compliance with verify_contract_compliance
3. Identifies renewal opportunities with find_renewal_opportunities
4. Suggests contract amendments with suggest_amendments
Result: Contract portfolio review with recommendationsPartnership Scoring
Understanding Your League's Value
The tier classification system evaluates leagues across 7 dimensions:
- Market Size - Fan base and geographic reach
- Fan Engagement - Attendance, digital engagement, merchandise
- Media Coverage - Broadcast deals, streaming, social media
- Financial Stability - Revenue, sponsorships, operational health
- Competition Level - Athlete quality, competitive balance
- Infrastructure - Facilities, technology, operations
- Growth Potential - Market trends, expansion plans
Tier System
| Tier | Description | Examples | Partnership Value |
|---|---|---|---|
| Tier 1 | Elite International | EPL, NBA, NFL | Premium |
| Tier 2 | Major Professional | MLS, Championship | High |
| Tier 3 | Regional/Growing | USL, CPL | Medium |
| Tier 4 | Local/Amateur | Local leagues | Standard |
Data Management
Controlling Your Data
Configure what data partners can access:
// Example data access configuration
{
"data_categories": {
"match_results": {
"access": "immediate",
"partners": ["all"]
},
"player_stats": {
"access": "delayed_30min",
"partners": ["premium_only"]
},
"injury_reports": {
"access": "delayed_24h",
"partners": ["sportsbooks"]
},
"tactical_data": {
"access": "restricted",
"partners": ["media_only"]
}
}
}Data Distribution Tiers
- Immediate: Real-time access as events happen
- Delayed: Access after specified delay (30min, 1h, 6h, 24h)
- Post-Match: Access after match completion
- Restricted: Requires special approval
- Exclusive: Single partner only
Contract Generation
Partnership Contract Types
- Data Rights Agreement - Basic data access
- Sportsbook Partnership - Betting data and branding
- Media Rights - Broadcasting and streaming
- Sponsorship Agreement - Branding and marketing
- Technology Partnership - Platform and infrastructure
Contract Customization
{
"name": "generate_contract",
"arguments": {
"contract_type": "sportsbook_partnership",
"league_name": "Regional Soccer League",
"partner_name": "BetCo Sportsbook",
"terms": {
"duration": "3 years",
"data_rights": "non-exclusive",
"territory": "North America",
"revenue_share": "10%",
"minimum_guarantee": "$50,000/year"
},
"custom_clauses": [
"Marketing support for league growth",
"Co-branded promotional campaigns",
"Responsible gambling initiatives"
]
}
}Analytics & Insights
Track League Performance
{
"name": "get_league_analytics",
"arguments": {
"league_id": "regional-soccer-league",
"metrics": [
"attendance_trends",
"digital_engagement",
"revenue_growth",
"partner_satisfaction"
],
"timeframe": "season",
"comparison": "previous_season"
}
}Insight Categories:
- Attendance: Trends, capacity utilization, growth
- Digital: Website traffic, social media, streaming
- Financial: Revenue streams, partner payments, costs
- Engagement: Fan activity, merchandise, loyalty
- Competitive: Match quality, competitive balance
Integration Examples
TypeScript Integration
import { MCPClient } from '@modelcontextprotocol/sdk';
const leagueClient = new MCPClient({
serverUrl: 'http://localhost:3000/mcp',
apiKey: process.env.LEAGUE_API_KEY,
role: 'league_owner',
leagueId: 'regional-soccer-league'
});
// Update league profile
await leagueClient.call('update_league_profile', {
league_id: 'regional-soccer-league',
updates: {
season: '2024-25',
teams_count: 16
}
});
// Generate partnership proposal
const proposal = await leagueClient.call('generate_partnership_proposal', {
partner_type: 'sportsbook',
league_data: { tier: 3, fan_base: 50000 }
});Python Integration
from altsportsdata_mcp import MCPClient
client = MCPClient(
api_key=os.getenv('LEAGUE_API_KEY'),
role='league_owner',
league_id='regional-soccer-league'
)
# Get tier classification
tier_info = client.call_tool('classify_league_tier', {
'league_id': 'regional-soccer-league',
'evaluation_criteria': ['market_size', 'fan_engagement']
})
# Track data usage
usage = client.call_tool('track_data_usage', {
'league_id': 'regional-soccer-league',
'timeframe': '30d'
})Example Prompts
League Management
"Update our league profile for the 2024-25 season"
"What tier is our league classified as?"
"Show me how our attendance compares to similar leagues"Partnership Development
"Create a partnership proposal for a regional sportsbook"
"Generate a data rights contract for a streaming partner"
"What partnerships would help us reach tier 2?"Data Control
"Set up data access for our new sportsbook partner"
"Show me which partners are using our injury data"
"Restrict tactical data to media partners only"Analytics
"Analyze our season performance vs last year"
"What are our strongest engagement metrics?"
"Identify opportunities to increase revenue"Best Practices
Data Management
- Review partner access permissions quarterly
- Monitor data usage for unusual patterns
- Set appropriate delays for sensitive data
- Maintain control over exclusive rights
Partnership Development
- Understand your tier before negotiations
- Use AI-generated proposals as starting points
- Customize contracts for each partner type
- Build long-term relationships, not just transactions
Growth Strategy
- Track progress toward next tier
- Focus on underperforming metrics
- Benchmark against comparable leagues
- Invest in digital presence and engagement
Troubleshooting
Common Issues
Issue: Tier classification seems incorrect
Solutions:
- Verify all league data is up to date
- Provide additional context about unique strengths
- Request manual review for borderline cases
- Update evaluation criteria based on league type
Issue: Partnership proposals too generic
Solutions:
- Provide more detailed league information
- Specify custom requirements and goals
- Include unique selling points
- Reference comparable partnerships
Issue: Data usage tracking shows gaps
Solutions:
- Verify partner API keys are configured
- Check data feed endpoints are active
- Review access permissions
- Contact partners to confirm integration status