MCP Server for Data Exploration is a versatile tool designed for interactive data exploration. It acts as a personal Data Scientist assistant, turning complex datasets into clear, actionable insights. The server provides a dedicated explore-data prompt and two core tools: load-csv and run-script. The load-csv tool loads a CSV file into a DataFrame, requiring csv_path and allowing an optional df_name (defaults to df_1, df_2, etc.). The run-script tool executes a Python script supplied as a string. The system is intended to be used via Claude Desktop, where prompt templates and tools are loaded to begin exploration. Users start by selecting the explore-data prompt and supplying inputs such as csv_path and topic (e.g., housing prices or weather patterns). The README also showcases real-world cases with dataset sizes, topics, and associated reports and graphs. For deployment, the server supports development and published configurations via mcpServers blocks (uv for development and uvx for published deployments). A note warns that the server will execute arbitrary Python code on the client machine, so caution is advised.