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Blog — PlanetScale
Blog — PlanetScale

Changelog — PlanetScale

Replica connections graph — PlanetScale Branch start maintenance webhook now available for Vitess enterprise customers — PlanetScale Deploy request UI updates — PlanetScale PostgreSQL CPU and I/O tracking — PlanetScale Branch start maintenance webhook — PlanetScale Cloudflare Workers integration — PlanetScale PlanetScale for Postgres is now Generally Available — PlanetScale PostgreSQL Schema Recommendations — PlanetScale Postgres maintenance windows — PlanetScale Support for 10 new Postgres extensions — PlanetScale 2025 PCI DSS reporting now available — PlanetScale AWS PrivateLink for Postgres — PlanetScale Google Cloud Provider support for Postgres databases — PlanetScale Insights: percent runtime — PlanetScale New region: AWS ca-central-1 (Montreal) — PlanetScale Postgres event triggers are now supported — PlanetScale New Postgres extension: pg_squeeze — PlanetScale Provisioned IOPS display for Metal clusters — PlanetScale Insights: max query latency graphs — PlanetScale Pinned databases update — PlanetScale New Postgres extensions: pg_cron and pg_partman_bgw — PlanetScale pscale shell now supports Postgres databases — PlanetScale Migration guides for Aurora, Neon, and Supabase — PlanetScale New pscale role commands for CLI — PlanetScale Postgres migration guides and scripts — PlanetScale Postgres role management — PlanetScale Expanded Postgres network-attached storage I/O configuration — PlanetScale 2025 SOC 1 Type 2 & SOC 2 Type 2 reports now available — PlanetScale Prometheus Metrics Additions: vstreamer events and errors — PlanetScale Postgres network-attached storage configuration — PlanetScale
MCP server: Schema recommendations tool — PlanetScale
2026-02-05 · via Changelog — PlanetScale

We've added a new tool to the PlanetScale MCP server: planetscale_list_schema_recommendations.

This tool allows AI agents and MCP-compatible clients like Cursor, Claude, and VS Code to retrieve schema recommendations for your PlanetScale databases. Schema recommendations are automatic suggestions to improve database performance, reduce memory and storage, and optimize your schema based on production database traffic.

With this tool, you can ask your AI assistant to:

  • "Show me the schema recommendations for my production database"
  • "Are there any unused indexes I should remove?"
  • "Check if any of my tables are approaching primary key exhaustion"

We recommend using this tool in the context of the same codebase. Each is a suggestion based on production data and we recommend understanding the pros and cons of each change before implementing. Learn more here.

The tool works with both Vitess and Postgres databases and respects your configured OAuth scopes and permissions.