WE BENCHMARKED FIVE MCP SERVER ARCHITECTURES. THE ACCURACY GAP WAS 25%.

Summary from the TLDR AI newsletter

378 prompts across CRM, ERP, project management, and data warehouse systems. Most MCP servers returned incorrect results 15–42% of the time. CData Connect AI [11] hit 98.5%. The variable wasn't the model — it was the connectivity layer between prompt and data source. Full