saiku

by spiculedata · Productivity · ★ 1,333

saiku is an MCP server by spiculedata. Open-source semantic layer: one cube for Excel (MDX/XMLA), dashboards, and AI agents (MCP). Mondrian + Apache Calcite. It has 1,333 GitHub stars and ranks #51 of 1809 in Productivity by stars.

Category: Productivity
Author: spiculedata
GitHub stars: 1,333
This week: Tracking since 18 Oct 2026
Language: Java
License: Apache-2.0 (open source)
Last update: 2026-10-23 (yesterday)
Links: Source Website

analytics
apache-calcite
business-intelligence
mcp
mdx
mondrian
olap
semantic-layer
xmla

How to install saiku

Install steps differ per project, so follow the README in the saiku repository. Most MCP servers start with a single command (npx -y <package>, uvx <package> or a Docker image) that you add to your client's config. The install guide shows where that goes in Claude Code, Claude Desktop, Cursor and VS Code.

Also listed in

MCP servers for Excel and spreadsheets99

Maintain this project? Get it featured ($99/mo, pinned at the top of Productivity) or see what featuring includes.

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Frequently asked questions

What is saiku?

saiku is an MCP server by spiculedata in the Productivity category. Open-source semantic layer: one cube for Excel (MDX/XMLA), dashboards, and AI agents (MCP). Mondrian + Apache Calcite. It has 1,333 GitHub stars and ranks #51 of 1809 in Productivity by stars. It is written in Java. It is licensed under Apache-2.0. It was last updated yesterday.

Is saiku free and open source?

Yes. saiku is published under the Apache-2.0 license, so you can run, modify and self-host it at no cost. If it connects to a paid service, that service's own pricing and API terms still apply. Check the repository for the exact license text before using it commercially.

What are the alternatives to saiku?

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Data last updated 25 October 2026. Stars and downloads are refreshed every day from GitHub and npm.