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Cube MCP Server

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Python
Hybrid

Cube MCP Server

A production-shaped Model Context Protocol server for Cube, built by 7Block Labs. It makes Cube's API usable directly by AI agents (Claude, ChatGPT, Cursor) — metered to the caller's own key — instead of leaving it to community wrappers.

Built for the Cube team as a working example of the official MCP server we'd ship & launch for you (OAuth + per-plan metering + listings in the Claude and ChatGPT directories).

python -m venv .venv && source .venv/bin/activate && pip install -e .
export CUBE_API_TOKEN=...        # your Cube API key
python -m cube_mcp.server                       # stdio
TRANSPORT=http PORT=8000 python -m cube_mcp.server   # remote

Claude Code: claude mcp add --transport http cube http://localhost:8000/mcp

API: https://your-deployment.cubecloud.dev/cubejs-api/v1 · docs: https://cube.dev/docs/product/apis-integrations/rest-api/reference · auth: raw JWT in Authorization header (no 'Bearer' prefix); set CUBE_API_BASE to your deployment

Tools

Tool

What it does

get_metadata

List cubes/views with measures, dimensions, segments

run_query

Run a Cube query and return result rows

get_generated_sql

Return the SQL Cube generates for a query

Want this hardened (OAuth, metering) and listed in Claude + ChatGPT? 7Block Labs builds and launches MCP servers for data & API companies. MIT licensed.

This server cannot be deployed

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

Maintenance

ActivityMaintained
ResponsivenessNo issues

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