# data-cleaner-agent

> data-cleaner-agent — wesseltl-data-cleaner-agent. Use this tool when you need to transform and refine messy CSV data into a clean and usable format. The data-cleaner-agent solves problems of data inconsistency and errors, providing a reliable output for further analysis or processing. It takes in dirty CSV data and outputs cleaned data, using a flexible interface that supports rule-based or LLM planning for safe data transformation.

Canonical page: https://skillsregistry.net/skills/wesseltl-data-cleaner-agent  
JSON: https://api.skillsregistry.net/v1/skills/wesseltl-data-cleaner-agent

## Description

MCP server for cleaning messy CSV data via a single clean_csv tool. Uses an agentic workflow with rule-based or LLM planners to transform data safely.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hs7258ygow)
- **Repository:** <https://github.com/wesseltl/data-cleaner-agent>

## 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": "wesseltl-data-cleaner-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wesseltl-data-cleaner-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wesseltl-data-cleaner-agent/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