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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
  • Track all changes with undo/redo capabilities

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
  • Auto-Save: Never lose work with configurable strategies
  • History & Undo/Redo: Full operation tracking with snapshots

📊 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
History Tracking Full undo/redo with snapshots Limited or none
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:

# 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 - Set up in 2 minutes
  2. Quick Start Tutorial - Your first data processing
  3. API Reference - Complete tool documentation
  4. Architecture - Technical design and implementation details

Community & Support

Ready to transform your AI's data capabilities? Get started now →