MCP Integration Architecture, Not Just the Model, Determines AI Accuracy (Sponsor)
TLDR AI
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Data Science
AI Research
We benchmarked five MCP integration approaches - native vendor servers, iPaaS, Unified API, MCP Gateways, and CData Connect AI - against 378 real-world prompts spanning CRM, project management, cloud data warehouse, and ERP systems. The key finding: most approaches fail silently, dropping filters, misreading schemas, or breaking on multi-step logic. The accuracy gap? 25%age points. That's a gap that compounds fast, at 75% per-step accuracy across a 5-step workflow, fewer than 24% of processes complete correctly. CData Connect AI achieved 98.5% accuracy across testing.