# @mob999/cube_mcp

> Use this tool when you need to analyze and query complex data from Cube.js, providing AI assistants with semantic layer visibility and multi-dimensional querying capabilities to solve problems related to data analysis and business intelligence. It takes in Cube.js data as input and outputs query results, enabling AI agents to make informed decisions. Ideal for use cases requiring advanced data analysis and insights generation.

Canonical page: https://skillsregistry.net/skills/mob999-cube-mcp  
JSON: https://api.skillsregistry.net/v1/skills/mob999-cube-mcp

## Description

Provides AI assistants with semantic layer visibility and multi-dimensional querying capabilities over Cube.js data.

## 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:** other
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/j0enkfre2m)
- **Repository:** <https://github.com/mob999/cube_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": "mob999-cube-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/mob999-cube-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/mob999-cube-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