# Cube.js MCP Server

> Use this tool when you need to enable AI assistants to query and analyze data from Cube.js analytics platforms using natural language. It solves problems of complex data analysis and provides access to cubes, measures, dimensions, and analytics queries. The Cube.js MCP Server takes natural language inputs and returns relevant data and insights as outputs, ideal for use cases requiring intuitive and automated data analysis.

Canonical page: https://skillsregistry.net/skills/zsembek-cube-js-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/zsembek-cube-js-mcp-server

## Description

Enables AI assistants to query and analyze data from Cube.js analytics platforms, allowing natural language access to cubes, measures, dimensions, and complex analytics queries.

## Trust

- **Trust score (0–1):** 0.92
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/u8m873c43v)
- **Repository:** <https://github.com/zsembek/Cube.js-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": "zsembek-cube-js-mcp-server"
    }
  }
}
```

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