The io.github.Pak209/alphalabs-intelligence MCP server provides live trading-pipeline intelligence for AI agents. It focuses on signal scoring, calibration, and recorded outcomes, supporting workflows that need assessed trading signals and tracking of results over time.
🛠️ Key Features
- Signal scoring
- Calibration
- Recorded outcomes
- Live trading-pipeline intelligence for AI agents
🚀 Use Cases
- Integrating trading signal scoring into AI agent decision flows
- Calibrating trading pipelines for improved signal assessment
- Reviewing recorded outcomes to evaluate agent or pipeline performance
⚡ Developer Benefits
- Clear tool purpose centered on signal scoring, calibration, and outcome recording
- Designed for AI-agent consumption of trading-pipeline intelligence
⚠️ Limitations
- Server capabilities are limited to what is described: signal scoring, calibration, and recorded outcomes for live trading pipelines