
How We Used PlanetScale MCP to Cut Query Latency
PlanetScale Insights and MCP helped us trace an expensive cursor scan to two backend workers, prove a focused fix, and remove wasted database work.
Insights, tutorials, and updates from the Helix team

PlanetScale Insights and MCP helped us trace an expensive cursor scan to two backend workers, prove a focused fix, and remove wasted database work.

Query Insights connects live latency, typed planner findings, active indexes, and grounded recommendations in the Helix dashboard and through MCP.

At HelixDB we've been focused on performance for the last few weeks. Here are our benchmarks for HelixDB, Neo4j, and Postgres (edges as joins) on a realistic graph dataset.

By developing directly on EC2, our engineers benchmark instantly on production-class hardware—no CI overhead, no local containers, no friction. Thanks to Coder, workspaces are fast, cost-efficient, and ready out of the box.