# CSV Editor

> Use this tool when you need to perform robust CSV file operations, such as data loading, filtering, and statistical analysis, to solve problems like data preprocessing, exploratory data analysis, and automated data quality assessment. It takes CSV, Excel, or Parquet files as input and outputs cleaned, transformed, and validated data through a conversational AI interface. Ideal for data analysts and researchers, it provides a session-based architecture with auto-save and operation history tracking capabilities.

Canonical page: https://skillsregistry.net/skills/csv-editor  
JSON: https://api.skillsregistry.net/v1/skills/csv-editor

## Description

CSV Editor MCP server by Santosh Ray provides AI assistants with pandas-powered CSV file operations including data loading, filtering, transformation, statistical analysis, and quality validation through a session-based architecture. Built with FastMCP and featuring auto-save capabilities, operation history tracking, and support for multiple formats (CSV, Excel, Parquet), the implementation offers tools for data cleaning, outlier detection, correlation analysis, and schema validation with comprehensive error handling and type safety. Designed for data analysts, researchers, and AI workflows requiring robust CSV manipulation capabilities, it serves use cases like data preprocessing pipelines, exploratory data analysis, and automated data quality assessment where pandas functionality needs to be accessible through conversational AI interfaces.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-05-14

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/csv-editor)
- **Repository:** <https://github.com/santoshray02/csv-editor>

## 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": "csv-editor"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/csv-editor` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/csv-editor/pull`

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