Saiku
Saiku is an open-source semantic layer that serves Excel, dashboards, and AI agents over MCP
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About Saiku
Saiku is listed in our data & analytics category and is aimed at builders. Saiku is an open-source semantic layer that serves Excel, dashboards, and AI agents over MCP Pricing, as the maker states it: Open source. Maturity: Active. We last checked the official link on 2026-10-28.
Saiku at a glance
- Category: Data & analytics
- Built for: Developers and teams building with AI agents
- Pricing: Open source (as the maker states it)
- GitHub: spiculedata/saiku · 1,334 stars (as of Oct 28, 2026)
- Official site: saiku.bi
- Listed on AgentScout: Oct 28, 2026
Saiku FAQ
What is Saiku?
Saiku is an open-source semantic layer that serves Excel, dashboards, and AI agents over MCP
How much does Saiku cost?
Saiku's pricing, as the maker states it: Open source. Open-source tools are free to use, though you may still pay for model API usage or a hosted plan. Check the official site for current plans.
Where can I find Saiku's source code?
On GitHub at spiculedata/saiku, which had 1,334 stars as of Oct 28, 2026.
What are alternatives to Saiku?
Similar tools include Cube, Power BI Modeling MCP, WrenAI, DBHub, Dot and Querri.
Facts from our link-checked listing, the GitHub repository and the official site. See something wrong? Suggest an edit.
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Saiku alternatives
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Cube
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Power BI Modeling MCP
Microsoft's MCP server that lets agents build and edit Power BI semantic models.
WrenAI
Generative BI for agents: governed text-to-SQL with a semantic context layer.
DBHub
Database MCP server for Postgres, MySQL, SQL Server and others from Bytebase.
Dot
AI data analyst that answers data questions, runs root-cause analysis and sends automated reports.
Querri
AI data analyst that cleans scattered data and answers questions in plain English.
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