DataBeak

--- sidebar_position: 1 title: Introduction --- ## DataBeak **Transform how AI assistants work with CSV data.** DataBeak is a high-performance MCP (Model Context Protocol) server that gives Claude, ChatGPT, and other AI assistants powerful data manipulation capabilities through simple commands. ## What is DataBeak? DataBeak bridges the gap between AI assistants and complex data operations. It provides 40+ specialized tools for CSV operations, turning AI assistants into powerful data analysts that can: - Clean messy datasets in seconds - Perform complex statistical analysis - Validate data quality automatically - Transform data with natural language commands - Process data through clean, stateless MCP architecture ## Key Features ### 🎯 Core Capabilities - **40+ Tools**: Complete data manipulation toolkit - **Multiple Formats**: CSV, JSON, Excel, Parquet, HTML, Markdown - **Session Management**: Multi-user support with isolation - **Stateless Design**: Clean MCP architecture with external context management ### 📊 Data Operations - **Load & Export**: Files, URLs, or direct content - **Transform**: Filter, sort, group, pivot operations - **Clean**: Remove duplicates, handle missing values, fix types - **Calculate**: Add computed columns and aggregations ### 📈 Analysis Tools - **Statistics**: Descriptive stats, correlations, distributions - **Outlier Detection**: IQR, Z-score, custom thresholds - **Data Profiling**: Complete quality reports - **Schema Validation**: Type checking and data quality scoring ## Why Choose DataBeak? | Feature | DataBeak | Traditional Tools | | ---------------------- | ------------------------------- | --------------------- | | **AI Integration** | Native MCP protocol | Manual operations | | **Auto-Save** | Automatic with strategies | Manual save required | | **Architecture** | Stateless MCP server design | Varies by tool | | **Session Management** | Multi-user isolated sessions | Single user | | **Data Validation** | Built-in quality scoring | Separate tools needed | | **Performance** | Handles GB+ files with chunking | Memory limitations | ## Quick Example Your AI assistant can now do this: ```python # Natural language becomes powerful data operations "Load the sales data and remove duplicates" "Filter for Q4 2024 transactions over $10,000" "Calculate correlation between price and quantity" "Fill missing values with the median" "Export as Excel with the analysis" # All with automatic history tracking and undo capability! ``` ## Technology Stack Built with modern, high-performance tools: - **Framework**: FastMCP 2.11.3+ (Model Context Protocol) - **Data Processing**: Pandas 2.2.3+, NumPy 2.1.3+ - **Package Manager**: uv (ultra-fast Python package management) - **Code Quality**: Ruff (linting and formatting), MyPy (type checking) - **Configuration**: Pydantic Settings for environment management ## Getting Started Ready to supercharge your AI's data capabilities? 1. **[Install DataBeak](installation.md)** - Set up in 2 minutes 1. **[Quick Start Tutorial](tutorials/quickstart.md)** - Your first data processing 1. **[API Reference](api/index.md)** - Complete tool documentation 1. **[Architecture](architecture.md)** - Technical design and implementation details ## Community & Support - **[GitHub Repository](https://github.com/jonpspri/databeak)** - Source code and releases - **[GitHub Discussions](https://github.com/jonpspri/databeak/discussions)** - Ask questions and share ideas - **[Report Issues](https://github.com/jonpspri/databeak/issues)** - Bug reports and feature requests ______________________________________________________________________ **Ready to transform your AI's data capabilities?** [Get started now →](installation.md)