PlanetScale MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect PlanetScale through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"planetscale": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "PlanetScale Agent",
instructions:
"You help users interact with PlanetScale " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with PlanetScale?"
);
console.log(result.text);
}
main();
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About PlanetScale MCP Server
Empower your AI agents to manage your PlanetScale serverless infrastructure seamlessly. Leverage the power of Vitess-backed MySQL without leaving your IDE. Ask your AI to branch a production database for testing, list regions, or drop obsolete schema forks instantly.
Mastra's agent abstraction provides a clean separation between LLM logic and PlanetScale tool infrastructure. Connect 10 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
What you can do
- Database Provisioning — Instantly list (
list_databases), inspect, create (create_database), or destroy serverless MySQL clusters running across global regions. - Branch Management — Harness PlanetScale's Git-like schema workflows. Direct your LLM to spawn a temporary
shadow-testbranch cloned frommain(create_branch), allowing consequence-free migrations before orchestrating Deploy Requests. - Infrastructure Exploration — Discover strict organizational IDs (
list_organizations) and query available physical cloud provider edges (list_regions) to optimize latency targets.
The PlanetScale MCP Server exposes 10 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect PlanetScale to Mastra AI via MCP
Follow these steps to integrate the PlanetScale MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from PlanetScale via MCP
Why Use Mastra AI with the PlanetScale MCP Server
Mastra AI provides unique advantages when paired with PlanetScale through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add PlanetScale without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every PlanetScale tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
PlanetScale + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the PlanetScale MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query PlanetScale, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed PlanetScale as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query PlanetScale on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using PlanetScale tools alongside other MCP servers
PlanetScale MCP Tools for Mastra AI (10)
These 10 tools become available when you connect PlanetScale to Mastra AI via MCP:
create_branch
Does *not* duplicate data (creates an empty schema clone of the parent) for secure CI testing uncoupled entirely from `main` load balancing layers. Fork a PlanetScale schema mapping to a new isolated Branch
create_database
Creates empty environments ready to execute explicit DDL definitions via non-blocking Deploy Requests. Provision a radically scalable Serverless Database instance
delete_branch
Utilized constantly within CI/CD pipelines following a successful Deploy Request morphing `main` schema structure directly. Purge an obsolete Git-like Schema testing ground
delete_database
Dropping the database effectively wipes terabytes of records scattered globally. Fails fully if unacknowledged connection logic binds it. Destroy a PlanetScale MySQL construct irreversibly
get_branch
Returns access hostnames for code integration. Deconstruct the layout of a single explicit Database Branch
get_database
Analyze core configuration of a specific MySQL cluster logic
list_branches
Essential for migrating schemas without locking production reads/writes. List Development Database Branches mirroring Prod architectures
list_databases
Retrieves explicitly mapping IDs orchestrating distributed Vitess backend shards. List high-availability PlanetScale MySQL DB distributions
list_organizations
Used solely to resolve the foundational string key prerequisite for all subsequent MySQL endpoint management. List root PlanetScale organizational identifiers
list_regions
Critical reference required during new Database/Branch physical provisioning routines. Locate physical edge availability zones supported by Vitess
Example Prompts for PlanetScale in Mastra AI
Ready-to-use prompts you can give your Mastra AI agent to start working with PlanetScale immediately.
"List all physical cloud regions currently exposed by the PlanetScale integration."
"We're starting a new feature. Fork testing branch from the main database 'store-backend'."
"Drop the specific 'staging-01' branch inside the 'web-portal' database."
Troubleshooting PlanetScale MCP Server with Mastra AI
Common issues when connecting PlanetScale to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpPlanetScale + Mastra AI FAQ
Common questions about integrating PlanetScale MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect PlanetScale with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect PlanetScale to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.