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MCP CSV Analysis With Gemini AI

@falahgs

Repository

Basic information

Category

AI & Agents

Transports

stdio

Author

falahgs

Submitted by

Falah Gatea

About MCP CSV Analysis With Gemini AI

No overview available yet

#csv-analysis#gemini-ai#data-visualization

MCP CSV Analysis With Gemini AI config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

MCP CSV Analysis With Gemini AI tools

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Overview

What is MCP CSV Analysis With Gemini AI?

MCP CSV Analysis With Gemini AI is a Model Context Protocol (MCP) server that provides advanced CSV analysis and thinking generation using Google's Gemini AI. It integrates seamlessly with Claude Desktop and offers sophisticated data analysis, interactive visualizations, and natural language processing capabilities.

How to use MCP CSV Analysis With Gemini AI?

Install Node.js v16+, clone the repository, run npm install, create a .env file with your GEMINI_API_KEY, and build with npm run build. Configure Claude Desktop by editing claude_desktop_config.json with the server command and environment variables, then restart Claude. Invoke the three tools—analyze-csv, visualize-data, and generate-thinking—by sending JSON arguments from Claude.

Key features of MCP CSV Analysis With Gemini AI

  • Comprehensive CSV analysis with basic and detailed exploratory modes
  • Interactive data visualizations using Plotly (histograms, scatter, heatmaps)
  • Thinking generation using Gemini’s experimental model
  • Seamless integration with Claude Desktop
  • Supports basic, advanced, and custom visualization types
  • Outputs analysis, charts, and thinking to timestamped files

Use cases of MCP CSV Analysis With Gemini AI

  • Data analysts performing exploratory data

Comments

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