# cwprep-mcp

> Use this tool when you need to automate the creation of Tableau Prep data flow files, solving data preparation and workflow challenges by generating .tfl files from custom inputs, and streamlining data processing workflows in various data analysis contexts. It takes in user-defined data flow specifications as input and outputs a .tfl file that can be used in Tableau Prep. Ideal for data analysts and scientists looking to optimize their data preparation workflows.

Canonical page: https://skillsregistry.net/skills/imgwho-cwprep-mcp  
JSON: https://api.skillsregistry.net/v1/skills/imgwho-cwprep-mcp

## Description

Generating Tableau Prep data flow (.tfl) files

## Trust

- **Trust score (0–1):** 0.77
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xa7ocgfbmg)
- **Repository:** <https://github.com/aidatacooper/cwprep>

## 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": "imgwho-cwprep-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/imgwho-cwprep-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/imgwho-cwprep-mcp/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