spiculedata/saiku — Open-source semantic layer: one cube for Excel (MDX/XMLA), dashboards, and AI agents (MCP).

Description and use

The spiculedata/saiku open-source project offers a semantic layer that enables seamless connections between AI agents, data tools, and dashboards through a standard protocol, providing a unified interface for Excel, dashboards, and AI interactions. To adopt this project, users can leverage its exposed APIs, SDKs, and CLI, and evaluate its implementation through language metadata and focused topics, making it relatively straightforward to integrate into existing systems. With high production readiness due to recent activity, strong adoption, and a robust ecosystem, spiculedata/saiku is well-suited for serious pilot projects, offering a valuable solution for standardizing integrations and connecting AI assistants to real tools and data.

Problem

spiculedata/saiku helps connect AI assistants to real tools and data through a standard protocol.

Outcome

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.

Workflow

• connect AI agents to tools
• ship Model Context Protocol servers
• standardize integrations

Evidence

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

Source