# MCP CSV Analysis with Gemini AI

> Use this tool when you need to analyze and visualize complex CSV data, and perform advanced exploratory data analysis, generating interactive charts and conducting complex reasoning on tabular data. It solves problems related to data insight and discovery, providing a user-friendly interface for uploading CSV files and outputting interactive visualizations. Ideal for use cases where deep data understanding and intuitive visualization are required.

Canonical page: https://skillsregistry.net/skills/falahgs-mcp-csv-analysis-with-gemini-ai  
JSON: https://api.skillsregistry.net/v1/skills/falahgs-mcp-csv-analysis-with-gemini-ai

## Description

An MCP server that enables advanced CSV analysis and data visualization using Google's Gemini AI and Plotly. It allows users to perform exploratory data analysis, generate interactive charts, and conduct complex reasoning on tabular data.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/tkcnkbw1k7)
- **Repository:** <https://github.com/falahgs/MCP-CSV-Analysis-with-Gemini-AI>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "falahgs-mcp-csv-analysis-with-gemini-ai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/falahgs-mcp-csv-analysis-with-gemini-ai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/falahgs-mcp-csv-analysis-with-gemini-ai/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
