Manually initiate a learning cycle to analyze patterns, improve machine learning models, and enhance predictive capabilities within the MCP Self-Learning Server.
Provides comprehensive statistical analysis tools for industrial data including time series analysis, correlation calculations, stationarity tests, outlier detection, causal analysis, and forecasting capabilities. Enables data quality assessment and statistical modeling through a FastAPI-based MCP architecture.
A learning-focused MCP server that demonstrates how to build arithmetic tools for AI assistants, currently featuring addition functionality with structured input/output.
An MCP server that connects to the Resource Hub, allowing centralized configuration and management of tools and resources across different MCP environments.