# Quack MCP

> Use this tool when you need to analyze and explore tabular data from CSV and Excel files, and perform tasks such as SQL querying, statistical analysis, and anomaly detection. It solves problems related to data inspection, expense optimization, and insight generation, providing outputs in the form of query results, statistical summaries, and visualizations. Ideal for use cases involving data-driven decision making, financial analysis, and data science applications.

Canonical page: https://skillsregistry.net/skills/wesbragagt-quack-mcp  
JSON: https://api.skillsregistry.net/v1/skills/wesbragagt-quack-mcp

## Description

Enables LLM agents to load, explore, and analyze CSV and Excel files using DuckDB, with tools for SQL querying, statistical analysis, expense optimization, and anomaly detection.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ye7g5qzpa7)
- **Repository:** <https://github.com/wesbragagt/quack-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": "wesbragagt-quack-mcp"
    }
  }
}
```

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