An MCP server for autonomous data exploration of CSV datasets, delivering AI-driven insights and analysis through the Model Context Protocol.
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An MCP server for autonomous data exploration on CSV-based datasets, providing intelligent insights with minimal effort.
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Category: Data Access Integration MCP Servers
Source: GitHub Repository
mcp-server-data-exploration is an open-source MCP server designed for autonomous data exploration of CSV datasets. It enables users to load and analyze CSV files, generating AI-driven insights and analysis through the Model Context Protocol (MCP). The server acts as a personal data scientist assistant, turning complex datasets into actionable insights.
explore-data) for specific data exploration tasks.load-csv tool to load CSV files into DataFrames for analysis.
csv_path (required): Path to the CSV filedf_name (optional): Custom name for the DataFramerun-script tool for executing custom Python scripts on the data.
script (required): The Python script to executedata-exploration, csv, ai-insights, mcp