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MCP CSV Analysis With Gemini AI

@falahgs

代码仓库

关于 MCP CSV Analysis With Gemini AI

暂无概览

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

基本信息

分类

AI 与智能体

传输方式

stdio

发布者

falahgs

提交者

Falah Gatea

配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

工具

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概览

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

评论

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