# ZSV

> Use this tool when you need to efficiently process CSV data or access documentation for the zsv command-line toolkit. It solves problems related to data manipulation, filtering, and analysis by providing a programmable interface to execute arbitrary zsv commands with argument arrays. The ZSV server takes in zsv commands and argument arrays as input and outputs the results of the executed commands, making it suitable for use cases that require automated CSV data processing.

Canonical page: https://skillsregistry.net/skills/budgiedownunder-zsv  
JSON: https://api.skillsregistry.net/v1/skills/budgiedownunder-zsv

## Description

A Go-based MCP server that wraps the zsv command-line CSV processing toolkit, providing two core tools: zsv_run for executing arbitrary zsv commands with argument arrays, and zsv_help for accessing zsv documentation. Includes structured logging, cross-platform CI testing, environment-based configuration, and pre-configured IDE setups for VS Code, Cursor, Claude Desktop, and Claude Code.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** monitoring
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/budgiedownunder-zsv)
- **Repository:** <https://github.com/budgiedownunder/zsv-mcp>

## 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": "budgiedownunder-zsv"
    }
  }
}
```

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

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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