ChatBI

Transforms CSV and Excel files into conversational data analysis by generating and executing Python code to answer natural language questions about datasets with automatic error correction and visualization capabilities.

ChatBI MCP Server provides intelligent data analysis capabilities by combining pandas DataFrame operations with OpenAI's language models to generate and execute Python code for data exploration and visualization. Built by Steven Luo, the implementation supports CSV and Excel file formats through specialized data accessors, automatically detects data structure and column types, and uses LLM-powered code generation with error correction to answer natural language questions about datasets. The server maintains execution history for debugging and includes configurable logging, making it valuable for business analysts and data scientists who want conversational access to their spreadsheet data without writing Python code manually.