{"$schema":"https://wellknown.network/schemas/agent-record-v1.json","schemaVersion":"1","id":"ag_a6547mt2adm6","handle":"league-analysis-mcp-server","url":"https://wellknown.network/agents/league-analysis-mcp-server","links":{"self":"https://wellknown.network/agents/league-analysis-mcp-server/record.json","html":"https://wellknown.network/agents/league-analysis-mcp-server","markdown":"https://wellknown.network/agents/league-analysis-mcp-server/record.md","api":"https://wellknown.network/api/v1/agents/league-analysis-mcp-server","status":"https://wellknown.network/api/v1/agents/league-analysis-mcp-server/status","claim":"https://wellknown.network/agents/league-analysis-mcp-server/claim","claimApi":"https://wellknown.network/api/v1/claims","claimDescriptor":"https://wellknown.network/agents/league-analysis-mcp-server/claim.json","badge":"https://wellknown.network/agents/league-analysis-mcp-server/badge.svg","openapi":"https://wellknown.network/openapi.json","history":"https://wellknown.network/api/v1/agents/league-analysis-mcp-server/history","tools":"https://wellknown.network/api/v1/agents/league-analysis-mcp-server/tools"},"ard":{"identifier":"urn:air::server:league-analysis-mcp-server","type":"application/mcp-server-card+json"},"kind":"mcp_server","declared":{"name":"league-analysis-mcp-server","summary":"Model Context Protocol server for Yahoo Fantasy Sports API with advanced historical analysis and manager profiling","description":"# League Analysis MCP Server\n\nA comprehensive Model Context Protocol (MCP) server that provides AI assistants with access to Yahoo Fantasy Sports data, including advanced historical analysis and manager profiling capabilities.\n\n## Features\n\n### 🏈 Multi-Sport Support\n- **NFL** (National Football League)\n- **NBA** (National Basketball Association) \n- **MLB** (Major League Baseball)\n- **NHL** (National Hockey League)\n\n### 📊 Current Season Data\n- League information and settings\n- Real-time standings\n- Team rosters and lineups\n- Weekly matchups and scoring\n- Transaction history\n\n### 📈 Historical Analysis\n- **Multi-season draft analysis** - Track draft patterns and strategies over time\n- **Manager performance history** - Comprehensive performance metrics across seasons\n- **Transaction pattern analysis** - Trading behavior and partnership identification\n- **Season-to-season comparisons** - League evolution and competitive balance trends\n\n### 🧠 Advanced Analytics\n- **Draft strategy classification** - Identify RB-heavy, Zero-RB, or balanced approaches\n- **Manager skill evaluation** - Comprehensive skill scoring based on multiple metrics\n- **Trade likelihood prediction** - Predict trade partnerships based on historical patterns\n- **Pattern recognition** - Identify trends in manager behavior and league dynamics\n\n### ⚡ Performance Features\n- **Smart caching** - Historical data cached permanently, current data with TTL\n- **Rate limiting** - Respects Yahoo API limits\n- **Error handling** - Comprehensive error handling and logging\n- **Multi-season support** - Access data from 2015+ seasons\n\n## Installation\n\n### Prerequisites\n- **Python 3.10+**\n- **uv installed** (Python package manager)\n- Yahoo Developer App credentials (setup will guide you)\n\n### 🚀 Install uv (Required)\n\n```bash\n# Install uv (one-time setup)\ncurl -LsSf https://astral.sh/uv/install.sh | sh\n# Windows: powershell -c \"irm https://astral.sh/uv/install.ps1 | iex\"\n```\n\n### ✨ No Package Installation Required!\n\nThe …","publisher":null,"homepage":"https://github.com/ari1110/League-Analysis-MCP#readme","repository":"https://github.com/ari1110/League-Analysis-MCP/blob/main/CHANGELOG.md","version":"0.3.1","license":"MIT","protocols":["mcp"],"tags":["ai-assistant","analytics","fantasy-sports","mcp","mlb","model-context-protocol","nba","nfl","nhl","yahoo-fantasy"],"pricing":null,"endpoints":[{"url":"pypi:league-analysis-mcp-server","type":"package_pypi","auth":null,"probeable":false}],"skills":null,"tools":null,"extra":null,"attribution":{"kind":"pypi","name":"pypi","license":"pypi","repoUrl":"pypi","summary":"pypi","version":"pypi","description":"pypi","homepageUrl":"pypi"}},"derived":{"capabilities":[{"slug":"ai.evaluation","name":"Evaluation & Benchmarks","confidence":0.836,"provenance":"derived"}],"categories":["ai"],"language":"en"},"observed":{"status":"unknown","statusReason":"Distributed as a package to run locally; 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