Added
🧠 MCP Smart Data Hints
December 18th, 2025 by Stefan Enev
When working with MCP, AI clients didn't know when to automatically pull raw data vs. just show summaries, leading to suboptimal responses. Now the MCP server provides intelligent hints based on data size and number of slices, helping AI assistants automatically determine when to fetch detailed data for better analysis.
What You Can Do Now
- Receive more contextually appropriate responses from AI assistants
- Get detailed data automatically when it's beneficial
- Receive summarized views when data sets are too large for detailed analysis
How It Works
The MCP server now analyzes query results and provides metadata hints about data size and complexity. AI clients use these hints to make intelligent decisions about whether to display raw data tables, create visualizations, or provide high-level summaries based on the volume and dimensionality of the returned data.
What Impact Does This Have
- More relevant and useful AI responses without manual intervention
- Reduced context window waste on unnecessarily large data dumps
- Better user experience with AI-assisted analytics exploration