# mcp-data-lens

> Use this tool when you need to analyze and extract insights from spreadsheets using natural language queries, solving problems like data discovery and ad-hoc reporting. It takes in plain English questions and spreadsheet files in various formats (Excel, CSV, Parquet) and outputs instant answers through DuckDB-powered analytics. Ideal for users seeking to quickly uncover trends and patterns in their data without requiring technical expertise.

Canonical page: https://skillsregistry.net/skills/cornelcroi-data-lens  
JSON: https://api.skillsregistry.net/v1/skills/cornelcroi-data-lens

## Description

Enables users to ask questions about their spreadsheets in plain English and receive instant answers using DuckDB-powered analytics, supporting multiple file formats like Excel, CSV, and Parquet.

## Trust

- **Trust score (0–1):** 0.82
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** data-analytics
- **Updated:** 2026-09-19

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/crukufx53f)
- **Repository:** <https://github.com/cornelcroi/data-lens>

## 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": "cornelcroi-data-lens"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cornelcroi-data-lens` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cornelcroi-data-lens/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