Process files (text, PDF, images, etc.) for summarization, extraction, or analysis using Gemini models. Supports large files with intelligent model selection and specific operation instructions.
Retrieve project-wide type information to enhance type inference and support accurate code analysis. Input the project directory path for comprehensive type context.
Enables users to preprocess, analyze, and visualize CSV data through comprehensive tools for data manipulation, statistical analysis, and graph generation.
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.
Provides intelligent summarization capabilities through a clean, extensible architecture. Mainly built for solving AI agents issues on big repositories, where large files can eat up the context window.