MCP CSV Analyzer

Example Use Cases

• 1

  Perform automated exploratory data analysis (basic or detailed) on CSV files and produce human-readable reports with insights and preprocessing recommendations.

• 2

  Create interactive Plotly visualizations (histograms, scatter plots, correlation heatmaps, box plots, etc.) and export high-resolution images for dashboards or reports.

• 3

  Generate and persist detailed chain-of-thought or 'thinking' outputs for complex analysis prompts using Google Gemini.

Description

This MCP server performs comprehensive CSV analysis (basic or detailed), including statistics, data quality checks, correlation and feature importance assessments, and preprocessing recommendations. It can generate interactive visualizations with Plotly (histograms, scatter plots, heatmaps, etc.) and export high-resolution charts. It also supports generating and saving detailed reasoning/thinking text using Google's Gemini model and integrates with Claude Desktop for MCP usage.