PlanetScale MCP Integration

Weldable's PlanetScale MCP integration gives your AI agents direct access to your PlanetScale databases for querying, schema inspection, and performance optimization. PlanetScale brings Vitess-powered branching and zero-downtime schema changes to MySQL, and with Weldable your agent can interact with all of it through natural language. No need to switch between dashboards or memorize CLI commands.

PlanetScale released its own database skills for AI agents in 2025, helping coding assistants write better queries across Postgres, MySQL, and Vitess. Weldable builds on this by connecting PlanetScale to your full tool stack. Your agent can pull query insights from PlanetScale, summarize them with Anthropic, and post the results to Slack, all in a single conversation.

Use cases

Query performance optimization

Your agent pulls PlanetScale Insights data to identify the slowest and most frequently executed queries. It analyzes execution plans, suggests index additions, and can open a GitHub pull request with the migration file. This turns a manual performance review into an automated feedback loop that runs on your schedule.

Schema change coordination

When your team plans a schema migration, your agent reads the current branch schema, compares it to the development branch, and summarizes the differences. It posts the diff to a Slack channel for review and tracks approval reactions before the deploy branch merges. This keeps schema changes visible to everyone who needs to know.

Cost and usage monitoring

Your agent queries PlanetScale billing data and row read/write metrics on a weekly cadence. It spots trends like unexpected spikes in storage or reads, formats the data into a report, and delivers it through email or Slack. Catching usage anomalies early prevents surprise invoices.

Automated database documentation

Your agent inspects table schemas, column types, and relationships across your PlanetScale databases. It generates or updates documentation in Notion or Google Docs, keeping your data dictionary current without anyone manually maintaining it.

Incident response queries

During an outage, your agent runs read-only diagnostic queries against PlanetScale to check recent data patterns, row counts, or error states. It threads the results into your Slack incident channel so the on-call engineer has context without needing database access on their laptop.

How it works

Connect your PlanetScale account through Weldable's authentication flow. Your agent receives scoped access to the organizations, databases, and branches you authorize. Weldable manages credential lifecycle so tokens stay fresh without manual rotation.

Tell your agent what you need in plain language. Weldable maps your intent to the right PlanetScale API call, whether that is listing databases, reading a branch schema, running a query, or pulling performance insights. Results come back structured and ready for your agent to act on.

Tips

Use read-only queries for analysis. When your agent is pulling data for reports or diagnostics, stick to SELECT statements. PlanetScale supports separate read and write endpoints, and Weldable routes accordingly.

Reference branches by name. PlanetScale's branching model means your agent can target main, staging, or any feature branch. Specify the branch in your prompt to ensure queries hit the right environment.

Pair Insights with code changes. After your agent identifies a slow query through PlanetScale Insights, chain the result to a GitHub integration to find the source code that generates it. This closes the loop between database performance and application code.

Keep sensitive data off the wire. For tables with PII, instruct your agent to return aggregate counts or filtered columns instead of full row dumps. This limits data exposure while still getting the information you need.

Schedule regular schema snapshots. Have your agent periodically export and store schema definitions. This creates a lightweight changelog that helps you track how your database evolves over time.