PlanetScale MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect PlanetScale through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token — get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using PlanetScale, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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.
The Vercel AI SDK gives every PlanetScale tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI SDK 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 Vercel AI SDK via MCP
Follow these steps to integrate the PlanetScale MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from PlanetScale and passes them to the LLM
Why Use Vercel AI SDK with the PlanetScale MCP Server
Vercel AI SDK provides unique advantages when paired with PlanetScale through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same PlanetScale integration everywhere
Built-in streaming UI primitives let you display PlanetScale tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
PlanetScale + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the PlanetScale MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query PlanetScale in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate PlanetScale tools and return structured JSON responses to any frontend
Chatbots with tool use: embed PlanetScale capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with PlanetScale through natural language queries
PlanetScale MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect PlanetScale to Vercel AI SDK 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK 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 Vercel AI SDK
Common issues when connecting PlanetScale to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpPlanetScale + Vercel AI SDK FAQ
Common questions about integrating PlanetScale MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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 Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.