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Open-source semantic layer: one cube for Excel (MDX/XMLA), dashboards, and AI agents (MCP). Mondrian + Apache Calcite.

Subagents1.3k stars656 forksJavaApache-2.0Updated today
Install as a Claude Code subagent
Method: Clone
Terminal
git clone https://github.com/spiculedata/saiku && cp saiku/*.md ~/.claude/agents/
1. Clone the repository and copy the agent .md definitions into ~/.claude/agents (or .claude/agents inside a project).
2. Start a new Claude Code session to load the agents.
3. Delegate work to them with the Task/Agent tool or by name.
Use cases

Subagents overview

README preview not available. Visit the repo on GitHub for full documentation.
analyticsapache-calcitebusiness-intelligencemcpmdxmondrianolapsemantic-layerxmla

What people ask about saiku

What is spiculedata/saiku?

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spiculedata/saiku is subagents for the Claude AI ecosystem. Open-source semantic layer: one cube for Excel (MDX/XMLA), dashboards, and AI agents (MCP). Mondrian + Apache Calcite. It has 1.3k GitHub stars and was last updated today.

How do I install saiku?

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You can install saiku by cloning the repository (https://github.com/spiculedata/saiku) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.

Is spiculedata/saiku safe to use?

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spiculedata/saiku has not been audited yet by our security agent. Review the original repository on GitHub before using it in production.

Who maintains spiculedata/saiku?

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spiculedata/saiku is maintained by spiculedata. The last recorded GitHub activity is from today, with 61 open issues.

Are there alternatives to saiku?

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Yes. On ClaudeWave you can browse similar subagents at /categories/agents, sorted by popularity or recent activity.

Deploy saiku to your cloud

Ship this repo to production in minutes. Each platform spins up its own environment with editable env vars.

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Featured on ClaudeWave: spiculedata/saiku
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