Side-by-side comparison of two Model Context Protocol servers — install paths, tools, quality signals, and directory engagement so you can pick the right one for Claude, Cursor, and other MCP clients.
Agentic data quality framework that runs structured rules against warehouses (DuckDB, BigQuery, Athena, Databricks, Postgres), diagnoses failures with LLM root cause analysis, and proposes SQL remediations. Every LLM decision is audit-logged with cost and latency.
USDA FoodData Central nutrition for AI agents — pay-per-call in USDC on Base via x402. Four tools (search, detail, compare, recipe) at $0.001–$0.005 per call. No signup, no API keys; MCPB-packaged for one-click install.