# Cube

> Use this tool when you need to analyze data and generate insights using natural language queries, solving problems such as trend identification and data-driven decision making. It takes in natural language inputs and outputs actionable insights, supporting both local and remote deployments with secure OAuth authentication. Ideal for use cases requiring intuitive data analysis and visualization.

Canonical page: https://skillsregistry.net/skills/cube  
JSON: https://api.skillsregistry.net/v1/skills/cube

## Description

Provides access to Cube's analytics platform through its AI agent, enabling natural language data queries, trend analysis, and insight generation. Supports both local stdio deployment via npm package and remote HTTPS connections with OAuth authentication for Cube Cloud environments.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

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

## 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": "cube"
    }
  }
}
```

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