Databeak

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Databeak is an AI-powered Model Context Protocol (MCP) server designed to revolutionize how AI assistants interact with CSV data. It offers a comprehensive suite of over 40 specialized tools for all aspects of CSV data handling, from initial loading (supporting URLs and string content) to complex transformations, advanced analytics, and robust data validation. Built with a stateless design, async I/O, and streaming capabilities for high performance, Databeak also includes multi-user session management with isolated contexts and is designed for secure web hosting with no file system access, making it a powerful and secure backend for AI-driven data workflows.

Características Principales

• Data validation: schema validation, quality scoring, anomaly detection
• 1 GitHub stars
• High performance: Async I/O, streaming downloads, chunked processing
• Comprehensive CSV data operations: load, transform, analyze from URLs and string content
• Secure session management: Multi-user support with isolated, auto-saving sessions
• Advanced analytics: statistics, correlations, outlier detection, data profiling

Casos de Uso

• Enabling AI to perform complex data analysis, such as finding outliers or calculating statistics, on CSV datasets
• Providing AI with tools for data quality checks, including schema validation and anomaly detection in CSV files
• Allowing AI assistants to load and process CSV data directly from URLs or provided strings